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  • Statistics In Transition

 

Article | 15-March-2019

DEVELOPMENT OF CHAIN-TYPE EXPONENTIAL ESTIMATORS FOR POPULATION VARIANCE IN TWOPHASE SAMPLING DESIGN IN PRESENCE OF RANDOM NON-RESPONS

In this paper, an investigation has been carried out to deal with a unified approach of estimation procedures of population variance in two-phase sampling design under missing at random non-response mechanism circumstances. Using two auxiliary variables, we have developed different chain-type exponential estimators of finite population variance for two different set-ups and studied their properties under the different assumption of random non-response considered by Tracy and Osahan (1994). The

G. N. Singh, Amod Kumar, Gajendra K. Vishwakarma

Statistics in Transition New Series, Volume 19 , ISSUE 4, 575–596

Report | 20-March-2020

Cost-effectiveness of FDA variance for blood collection from individuals with hereditary hemochromatosis at a 398-bed hospitalbased donor center

transfusion was $20,345. In contrast, the current revenue generated by the collection of 60 therapeutic phlebotomies was only $6,000. In 2008, using eligible HH individuals as allogeneic blood donors would have resulted in an increase in revenue of $14,345 for our blood center. This study demonstrates that even at a medium-size, hospital-based donor center, obtaining a variance from the FDA to establish an HH blood donor program is a cost-effective endeavor, which does not compromise donor or patient

Dee M. Gribble, DJ Chaffin, Barbara J. Bryant

Immunohematology, Volume 25 , ISSUE 4, 170–173

Sampling Methods | 20-November-2017

POPULATION VARIANCE ESTIMATION USING FACTOR TYPE IMPUTATION METHOD

We propose a variance estimator based on factor type imputation in the presence of non-response. Properties of the proposed classes of estimators are studied and their optimality conditions are derived. The proposed classes of factor type ratio estimators are shown to be more efficient than some of the existing estimators, namely, the usual unbiased estimator of variance, ratio-type, dual to ratio type and ratio cum dual to ratio estimators. Their performances are assessed on the basis of

RANJITA PANDEY, KALPANA YADAV

Statistics in Transition New Series, Volume 18 , ISSUE 3, 375–392

Article | 06-July-2017

A NEW FAMILY OF ESTIMATORS OF THE POPULATION VARIANCE USING INFORMATION ON POPULATION VARIANCE OF AUXILIARY VARIABLE IN SAMPLE SURVEYS

This paper proposes a family of estimators of population variance 2 y S of the study variable y in the presence of known population variance 2 x S of the auxiliary variable x. It is identified that in addition to many, the recently proposed classes of estimators due to Sharma and Singh (2014) and Singh and Pal (2016) are members of the proposed family of estimators. Asymptotic expressions of bias and mean squared error (MSE) of the suggested family of

Housila P. Singh, Surya K. Pal

Statistics in Transition New Series, Volume 17 , ISSUE 4, 605–630

Research Article | 03-March-2021

On the generalisation of Quatember's bootstrap

The problem of the estimation of the design-variance and the design-MSE of different estimators and predictors is considered. Bootstrap algorithms applicable to complex sampling designs are used. A generalisation of the bootstrap procedure studied by Quatember (2014) is proposed. In most of the cases considered in our simulation study it leads to more accurate estimates (or to very similar ones in remaining cases) of the designMSE and the design-variance compared with the original algorithm and

Tomasz Żądło

Statistics in Transition New Series, Volume 22 , ISSUE 1, 163–178

Article | 01-June-2020

New linear model for optimal cluster size in cluster sampling

In this paper, a nonlinear model is proposed for improving the relationship between the size of a cluster and the variance within the cluster. This model describes the most appropriate functional relation between the within-cluster variance and the cluster size. Through this model, we can obtain the optimum size of a cluster and an estimate of the variance between clusters. The proposed model leads to further improvement in the estimation of the optimum size of a cluster, and the formula for

Alok Kumar Shukla, Subhash Kumar Yadav

Statistics in Transition New Series, Volume 21 , ISSUE 2, 189–200

Article | 01-December-2016

A BLIND ASSESSMENT METHOD OF IMAGE COMPRESSION QUALITY BASED ON IMAGE VARIANCE

Qun Zhou, Xiongwei Liu

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 4, 2131–2148

Sampling Methods | 22-July-2018

MODIFIED RECURSIVE BAYESIAN ALGORITHM FOR ESTIMATING TIME-VARYING PARAMETERS IN DYNAMIC LINEAR MODELS

Estimation in Dynamic Linear Models (DLMs) with Fixed Parameters (FPs) has been faced with considerable limitations due to its inability to capture the dynamics of most time-varying phenomena in econometric studies. An attempt to address this limitation resulted in the use of Recursive Bayesian Algorithms (RBAs) which is also affected by increased computational problems in estimating the Evolution Variance (EV) of the time-varying parameters. In this paper, we propose a modified RBA for

O. Olawale Awe, A. Adedayo Adepoju

Statistics in Transition New Series, Volume 19 , ISSUE 2, 239–258

Sampling Methods | 25-May-2018

A BAYESIAN INFERENCE OF MULTIPLE STRUCTURAL BREAKS IN MEAN AND ERROR VARIANCE IN PANEL AR (1) MODEL

This paper explores the effect of multiple structural breaks to estimate the parameters and test the unit root hypothesis in panel data time series model under Bayesian perspective. These breaks are present in both mean and error variance at the same time point. We obtain Bayes estimates for different loss function using conditional posterior distribution, which is not coming in a closed form, and this is approximately explained by Gibbs sampling. For hypothesis testing, posterior odds ratio is

Varun Agiwal, Jitendra Kumar, Dahud Kehinde Shangodoyin

Statistics in Transition New Series, Volume 19 , ISSUE 1, 7–23

Article | 24-June-2021

ROBUST SIMULATION METHOD OF COMPLEX TECHNICAL TRANSPORT SYSTEMS

In the optimization of technical systems focused on a specific functional purpose (reliability, safety, and availability) with the use of simulation methods, an important parameter is the digital simulation time of the research subject. With the complexity of the issue, the digital simulation time increases. The aim of the article is to present a method (combination of parallel computing and variance reduction techniques) of reducing the computer simulation time of the research technical object

Janusz SZPYTKO, Yorlandys SALGADO DUARTE

Transport Problems, Volume 16 , ISSUE 2, 101–112

Research Article | 08-December-2021

Estimation of the density and cumulative distribution functions of the exponentiated Burr XII distribution

The exponentiated Burr Type XII (EBXII) distribution has wide applications in reliability and economic studies. In this article, the estimation of the probability density function and the cumulative distribution function of EBXII distribution is considered. We examine the maximum likelihood estimator, the uniformly minimum variance unbiased estimator, the least squares estimator, the weighted least squares estimator, the maximum product spacing estimator, the Cramér–von-Mises

Amal S. Hassan, Salwa M. Assar, Kareem A. Ali, Heba F. Nagy

Statistics in Transition New Series, Volume 22 , ISSUE 4, 171–189

Article | 06-July-2017

A TWO-COMPONENT NORMAL MIXTURE ALTERNATIVE TO THE FAY-HERRIOT MODEL

This article considers a robust hierarchical Bayesian approach to deal with random effects of small area means when some of these effects assume extreme values, resulting in outliers. In the presence of outliers, the standard Fay-Herriot model, used for modeling area-level data, under normality assumptions of random effects may overestimate the random effects variance, thus providing less than ideal shrinkage towards the synthetic regression predictions and inhibiting the borrowing of

Adrijo Chakraborty, Gauri Sankar Datta, Abhyuday Mandal

Statistics in Transition New Series, Volume 17 , ISSUE 1, 67–90

Article | 08-December-2021

Unreported standard errors in meta-analysis

A study that would otherwise be eligible is commonly excluded from a meta-analysis when the standard error of its treatment-effect estimator, or the estimate of the variance of the outcomes, is not reported and cannot be recovered from the available information. This is wasteful when the estimate of the treatment effect is reported. We assess the loss of informa tion caused by this practice and explore methods of imputation for the missing variance. The methods are illustrated on two sets of

Nicholas T. Longford

Statistics in Transition New Series, Volume 22 , ISSUE 4, 1–17

Article | 20-December-2020

Estimating the population mean using a continuous sampling design dependent on an auxiliary variable

Continuous distribution of variables under study and auxiliary variables are considered. The purpose of the paper is to estimate the mean of the variable under study using a sampling design which is dependent on the observation of a continuous auxiliary variable in the whole population. Auxiliary variable values observed in this population allow to estimate the inclusion density function of the sampling design. The variance of the continuous version of the Horvitz-Thompson estimator under the

Janusz L. Wywiał

Statistics in Transition New Series, Volume 21 , ISSUE 5, 1–16

Article | 20-December-2020

Unbiased estimator modeling in unrelated dichotomous randomized response

The unrelated design has been shown to improve the efficiency of a randomized response method and reduces respondents’ suspicion. In the light of this, the paper proposes a new Unrelated Randomized Response Model constructed by incorporating an unrelated question into the alternative unbiased estimator in the dichotomous randomized response model proposed by Ewemooje in 2019. An unbiased estimate and variance of the model are thus obtained. The variance of the proposed model decreases as

Adetola Adedamola Adediran, Femi Barnabas Adebola, Olusegun Sunday Ewemooje

Statistics in Transition New Series, Volume 21 , ISSUE 5, 119–132

Article | 01-June-2016

RANDOM SIGNAL FREQUENCY IDENTIFICATION BASED ON AR MODEL SPECTRAL ESTIMATION

The power spectral estimation is an important element in the random signal analysis. The paper will introduce the principles of the classical power spectral estimation and modern power spectral estimation, analyses their characteristics and application in MATLAB simulation. The variance obtained by the classical power spectral estimation is inversely proportional to its resolution, the resolution of the modern spectral estimation are not subject to this restriction, but also the variance

Chunhuan Song

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 884–908

Article | 13-December-2019

MULTI-DOMAIN NEYMAN-TCHUPROV OPTIMAL ALLOCATION

optimal allocation vector and relative variance than in such purely numerical tools (although the eigenproblem solution provides also numerical solutions, see, e.g. Wesołowski and Wieczorkowski (2017)). The domain-wise optimal allocation and the respective optimal variance of the estimator are determined by the unique direction (defined in terms of the positive eigenvector of matrix D) in the space RI, where I is the number of domains in the population.

Jacek Wesołowski

Statistics in Transition New Series, Volume 20 , ISSUE 4, 1–12

Research Article | 22-December-2016

Children’s coping styles and trauma symptoms after an explosion disaster

somatization and negative affectivity.Results:The following variables were associated with a higher degree of trauma symptoms for children in grades 6 through 10 and explained 39% to 48% of the unique variance in these symptoms: female gender; the experience of traumatic events pre-disaster; the destruction of property or danger to life occurring during the disaster; the experience of traumatic events post-disaster; and the use of self-blame, emotion regulation, wishful thinking, and cognitive

Mette Elmose, Christina Duch, Ask Elklit

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 4 , ISSUE 3, 132–140

Article | 24-August-2017

ESTIMATING SENSITIVE POPULATION PROPORTION USING A COMBINATION OF BINOMIAL AND HYPERGEOMETRIC RANDOMIZED RESPONSES BY DIRECT AND INVERSE MECHANISM

theoretical derivations for unbiased estimator, variance and variance es-timators are presented for several sampling schemes. A numerical illustration is performed to make a comparative study of the relative efficiencies of the direct and inverse mechanism.

Kajal Dihidar, Manjima Bhattacharya

Statistics in Transition New Series, Volume 18 , ISSUE 2, 193–210

Research paper | 01-November-2017

BORROWING INFORMATION OVER TIME IN BINOMIAL/LOGIT NORMAL MODELS FOR SMALL AREA ESTIMATION

compare prediction results from the alternative models to see how much the bivariate and time series models reduce prediction error variances from those of the univariate BLN model. Standard conditional variance calculations for corresponding linear Gaussian models that suggest how much variance reduction will be achieved from borrowing information over time with linear models agree generally with the BLN empirical results.

Carolina Franco, William R. Bell

Statistics in Transition New Series, Volume 16 , ISSUE 4, 563–584

Research Article | 15-February-2020

A Novel Approach To Improve Vehicle Speed Estimation Using Smartphone’s INS/GPS Sensors

Arijit Chowdhury, Tapas Chakravarty, P. Balamuralidhar

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6

Article | 15-March-2019

LINDLEY PARETO DISTRIBUTION

In this paper, we introduce a new Lindley Pareto distribution, which offers a more flexible model for modelling lifetime data. Some of its mathematical properties like density function, cumulative distribution, mode, mean, variance, and Shannon entropy are established. A simulation study is carried out to examine the bias and mean square error of the maximum likelihood estimators of the unknown parameters. Three real data sets are fitted to illustrate the importance and the flexibility of the

Halim Zeghdoudi, Lazri Nouara, Djabrane Yahia

Statistics in Transition New Series, Volume 19 , ISSUE 4, 671–692

Research Article | 22-January-2018

A GENERALIZED RANDOMIZED RESPONSE MODEL

Housila P. Singh, Swarangi M. Gorey

Statistics in Transition New Series, Volume 18 , ISSUE 4, 669–686

Original Paper | 24-February-2017

Acoustic radiation force impulse imaging of kidneys – a phantom study

points ranged from 2.445 to 3.941 m/s, with standard deviation exceeding 0.1 in only one case out of 29 points, but differing significantly between all points. Conclusions: The obtained results indicate that the method is highly reliable as long as the measurement volume contains a uniform tissue region. If the measurement window covers a region with different properties even partially, the obtained results are affected. The variance of measured values on the other hand is not affected by the

Szymon Cygan, Magdalena Januszewicz

Journal of Ultrasonography, Volume 16 , ISSUE 67, 329–338

Article | 06-July-2017

SMALL AREA PREDICTION UNDER ALTERNATIVE MODEL SPECIFICATIONS

Construction of small area predictors and estimation of the prediction mean squared error, given different types of auxiliary information are illustrated for a unit level model. Of interest are situations where the mean and variance of an auxiliary variable are subject to estimation error. Fixed and random specifications for the auxiliary variables are considered. The efficiency gains associated with the random specification for the auxiliary variable measured with error are demonstrated. A

Andreea L. Erciulescu, Wayne A. Fuller

Statistics in Transition New Series, Volume 17 , ISSUE 1, 9–24

Article | 06-July-2017

ON MEASURING INCOME POLARIZATION: AN APPROACH BASED ON REGRESSION TREES

This article proposes the application of regression trees for analysing income polarization. Using an approach to polarization based on the analysis of variance, we show that regression trees can uncover groups of homogeneous income receivers in a data-driven way. The regression tree can deal with nonlinear relationships between income and the characteristics of income receivers, and it can detect which characteristics and their interactions actually play a role in explaining income

Mauro Mussini

Statistics in Transition New Series, Volume 17 , ISSUE 2, 221–236

Article | 01-September-2015

AUTOMATIC HUMAN DAILY ACTIVITY SEGMENTATION APPLYING SMART SENSING TECHNOLOGY

effectiveness of this proposed automatic human activity separation method focusing on the application of mobile sensor. As the properties of signal, mean, variance, frequency and amplitude are all useful features on the case of motion sensor-based human daily activity segmentation. In the end, the suggested work to improve the developed partition model is presented.

Yin Ling

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 3, 1624–1640

Research paper | 01-November-2017

Triple-goal estimation of unemployment rates for U.S. states using the U.S. Current Population Survey data

In this paper, we first develop a triple-goal small area estimation methodology for simultaneous estimation of unemployment rates for U.S. states using the Current Population Survey (CPS) data and a two-level random sampling variance normal model. The main goal of this paper is to illustrate the utility of the triple-goal methodology in generating a single series of unemployment rate estimates for three separate purposes: developing estimates for individual small area means, producing 

Daniel Bonnéry, Yang Cheng, Neung Soo Ha, Partha Lahiri

Statistics in Transition New Series, Volume 16 , ISSUE 4, 511–522

Research Article | 01-September-2017

MODELING AND DESIGNING A FULL BEAMFORMER FOR ACOUSTIC SENSING AND MEASUREMENT

two specific classes: LCMP (Linear Constrained Minimum Power) beamformers that are used to overcome robustness limitations and MVDR (Minimum Variance Distortionless Response) beamformers. Any aspect of modeling and designing is always related to the DOA (Direction of Arrival). The obtained results are based on assumptions extracted from an actual case of constructed system.

A. Lay-Ekuakille, N.I. Giannoccaro, S. Casciaro, F. Conversano, R. Velazquez

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 3, 718–734

Article | 14-August-2018

The Future of Australian Rural Communities: How Powerful are the Forces of Change?

This paper tests how far population change in 412 rural communities of south-eastern Australia is predetermined by five ‘drivers’: remoteness, amenity, town size, rural population density, and concentration/dispersal of the population. Testing their combined impact through multiple correlation analysis, it finds that over the ten-year period 1996-2006, the status of the five drivers measured in 1996 explains (statistically) some 53% of the variance in the actual population change in the

PETER J. SMAILES, TREVOR L.C. GRIFFIN, NEIL M. ARGENT

South Australian Geographical Journal, Volume 111 , 18–42

Article | 20-November-2017

INVESTIGATION ON PHOTOELECTRIC THEODOLITE DATA PROCESSING AND RANDOM ERRORS MODEL

Measure error of photoelectric theodolite would influence result precision when tracking flight target. This paper researches error problem of testing. It analyses all the causes of error forming, divides them to several sorts: system error, random error and outlier error, then provides resolution method to each sort. Especially for random error, it builds an error model, analyses the properties of unbiased, equal variance and uncorrelated, conducts best error estimate, discuss the relationship

Xiang Hua, Jinjin Zhang, Bin Lei

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1180–1202

Article | 07-May-2018

Levenberg-Marquardt Method Based Iterative Square Root Cubature Kalman Filter and its Applications to Maneuvering Re-entry Target Tracking

Levenberg-Marquardt (abbr.L-M) method based iterative square root cubature Kalman filter (abbr. ISRCKFLM) inherits the numerical stability of square root Cubature Kalman filter and effectively suppresses the influence of the larger initial estimation error and the nonlinearity of the measurement equation on the state estimation in the nonlinear state estimation due to obtaining the optimal state and variance estimates using the latest measurement through L-M method. We apply the ISRCKFLM

Mu Jing, Wang Changyuan

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 10–13

Research Article | 04-September-2019

CHARACTERIZATION OF THE SUM OF BINOMIAL RANDOM VARIABLES UNDER RANKED SET SAMPLING

behaviour and pattern, first four moments i.e., mean, variance, skewness and kurtosis are derive and compared with the sum of binomial simple random samples with same success probability. The proposed procedure has been illustrated through a reallife data on survivorship of children below one year in Empowered Action Groups (EAG) states of India.

Vivek Verma, Dilip C. Nath

Statistics in Transition New Series, Volume 20 , ISSUE 3, 1–29

Article | 13-December-2019

A NEW RATIO ESTIMATOR: AN ALTERNATIVE TO REGRESSION ESTIMATOR IN SURVEY SAMPLING USING AUXILIARY INFORMATION

The most dominant problem in the survey sampling is to obtain the better ratio estimators for the estimation of population mean or population variance. Estimation theory is enhanced by using the auxiliary information in order to improve on designs, precision and efficiency of estimators. A modified class of ratio estimator is suggested in this paper to estimate the population mean. Expressions for the bias and the mean square error of the proposed estimators are obtained. Both analytical and

Mir Subzar, S. Maqbool, T. A. Raja, Prayas Sharma

Statistics in Transition New Series, Volume 20 , ISSUE 4, 181–189

Article | 01-December-2015

VEHICLE MODEL RECOGNITION BASED ON USING IMAGE PROCESSING AND WAVELET ANALYSIS

analyzed by Daubechies wavelet transformation and three statistical criteria; variance, norm-1 and norm-2 are extracted from wavelet coefficients. Finally, a similarity factor is defined to detect the same type of vehicles. The proposed algorithm is resistant against car edge negligible changes and the experimental results indicate the high performance of system in detecting the vehicle types.

Elyas Abbasi Jennat Abadi, Soheyl Akhlaghi Amiri, Masoud Goharimanesh, Aliakbar Akbari

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 2212–2230

Article | 01-December-2014

A SCENE RECOGNITION ALGORITHM BASED ON MULTI-INSTANCE LEARNING

. Considering the traditional classification method based on Bag of Words model is vulnerable to the background, block and scalar variance of an image, we propose in this article a multiple visual words learning method for image classification, which is based on the concept of visual phrases combined with Multiple Instance Learning. The final classification model is able to show the spatial features of image classes. Experiments performed on standard image testing sets, Caltech 101 and Scene 15, show the

Tao Wang, Wenqing Chen, Bailing Wang

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1470–1492

Research Article | 13-June-2021

Interviewer allocation through interview–reinterview nested design for response error estimation in sample surveys

surveys relating to the time use and life satisfaction of academicians at Middle East Technical University, Turkey. An analysis of the pilot survey data showed that only half of the data was reliable, while the other half revealed interviewer effects. Prior to the main survey, interviewers underwent training in the course of which particular emphasis was put on the above-mentioned questions. In effect, the previously observed response variances which accounted for the total variance and data

Fidan Mahmut Fahmi, H. Öztaş Ayhan, Ìnci Batmaz

Statistics in Transition New Series, Volume 22 , ISSUE 2, 67–93

Article | 03-November-2017

PERFORMANCE ANALYSIS OF PATIENT SPECIFIC ELMAN-CHAOTIC OPTIMIZATION MODEL FOR FUZZY BASED EPILEPSY RISK LEVEL CLASSIFICATION FROM EEG SIGNALS

This paper aims to analyze the optimization of Epilepsy risk levels from EEG signals using Fuzzy based Elman-Chaotic Optimization. The EEG (Electroencephalogram) signals of twenty patients are collected from Sri Ramakrishna Hospitals at Coimbatore. The raw EEG signals are sampled and various parameters like energy, energy, variance, peaks, sharp and spike waves, duration, events and covariance. The fuzzy techniques are applied as a first level classifier to classify the risk levels of epilepsy

Dr.R HariKumar, T. Vijayakumar

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 4, 612–635

Article | 03-September-2013

A PARFOCALITY MEASUREMENT METHOD OF A CONTINUOUS ZOOM STEREO MICROSCOPE

functions, including the variance function, the gradient square function, the discrete Fourier transform function and the Walsh-Hadamard transform function. Then, an in-focus model is presented and implemented to determine whether or not the relatively sharpest displacement under a specified zoom rate is an in-focus displacement, and to obtain the discrete in-focus displacements under multi-rates. Finally, by using discrete in-focus displacements, a continuous zoom in-focus curve is fitted. Results from

Yigang Wang, Gangyi Jiang, Mei Yu, Feng Shao, Wang Yuan

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 4, 1419–1434

Article | 15-September-2020

Effective transformation-based variable selection under two-fold subarea models in small area estimation

, especially when the variance of the area-level random effect in the linking model is large.

Song Cai, J. N. K. Rao, Laura Dumitrescu, Golshid Chatrchi

Statistics in Transition New Series, Volume 21 , ISSUE 4, 68–83

Article | 20-December-2020

A Bayesian analysis of complete multiple breaks in a panel autoregressive (CMB-PAR(1)) time series model

panel autoregressive model with multiple breaks present in all parameters, i.e. in the autoregressive coefficient and mean and error variance, which is a generalisation of various sub-models. The Bayesian approach is applied to estimate the model parameters and to obtain the highest posterior density interval. Strong evidence is observed to support the Bayes estimator and then it is compared with the maximum likelihood estimator. A simulation experiment is conducted and an empirical application on

Varun Agiwal, Jitendra Kumar, Dahud Kehinde Shangodoyin

Statistics in Transition New Series, Volume 21 , ISSUE 5, 133–149

Article | 24-August-2017

SEQUENTIAL DATA WEIGHTING PROCEDURES FOR COMBINED RATIO ESTIMATORS IN COMPLEX SAMPLE SURVEYS

important reasons are weighting for unequal probability of selection, compensation for nonresponse, and post-stratification. Many highly efficient estimation methods in survey sampling require strong information about auxiliary variables, x. The most common estimation methods using auxiliary information in estimation stage are regression and ratio estimator. This paper proposes a sequential data weighting procedure for the estimators of combined ratio mean in complex sample surveys and general variance

Aylin Alkaya, H. Öztaş Ayhan, Alptekin Esin

Statistics in Transition New Series, Volume 18 , ISSUE 2, 247–270

Article | 03-November-2017

An Intelligent Fuzzy Controller for Air-Condition with Zigbee Sensors

In recent years, the research and development of energy-saving control in air-condition system has become a hot spot with the advance of science and technology. In this paper, we proposed a fuzzy control mechanism for air-condition system, which combines the fuzzy control and multi-point sensing technology. When people feel cooler or hotter indoor, the air condition should promptly detect the temperature variance and switch the temperate between hot and cool smoothly. Therein an intelligent

Tzu-Ming Wang, I-Ju Liao, Jen-Chi Liao, Tain-Wen Suen, Wei-Tsong Lee

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 4, 636–652

Article | 20-December-2020

Comparing particulate matter dispersion in Thailand using the Bayesian Confidence Intervals for ratio of coefficients of variation

statistical inference on the coefficient of variation. In this paper, we develop confidence interval estimation for the ratio of coefficients of variation of two log-normal distributions constructed using the Bayesian approach. These confidence intervals were then compared with the existing approaches: method of variance estimates recovery (MOVER), modified MOVER, and approximate fiducial approaches using their coverage probabilities and average lengths via Monte Carlo simulation. The simulation results

Warisa Thangjai, Suparat Niwitpong

Statistics in Transition New Series, Volume 21 , ISSUE 5, 41–60

Article | 05-September-2021

A calibrated synthetic estimator for small area estimation

sampling. In result, their biases and variance estimators were derived. The empirical demonstration of the usage involving the proposed calibrated estimators shows that they provide better estimates of the population mean than the existing estimators discussed in this study. In particular, the estimators were examined through simulation under three distributional assumptions, namely the normal, gamma and exponential distributions. The results show that they provide estimates of the mean displaying less

Matthew Joshua Iseh, Ekaette Inyang Enang

Statistics in Transition New Series, Volume 22 , ISSUE 3, 15–30

Research Article | 21-April-2017

3D LASER SCANNING TECHNIQUE FOR THE INSPECTION AND MONITORING OF RAILWAY TUNNELS

Railway tunnel inspection and monitoring has predominantly been a visual and manual procedure, which is time-consuming and subjective, giving rise to variance in standards and quality. Thus, alternative, novel, automated techniques need to be developed, for more efficient and reliable tunnel examination. The reported research aimed to investigate the application of a laser scanning technique for the inspection of tunnel degradation and structural integrity. The proposed method may either

Han-Mei CHEN, Cristian ULIANOV, Ramy SHALTOUT

Transport Problems, Volume 10 , ISSUE SE, 73–84

Research Article | 13-December-2019

GENERAL LINEAR MODEL: AN EFFECTIVE TOOL FOR ANALYSIS OF CLAIM SEVERITY IN MOTOR THIRD PARTY LIABILITY INSURANCE

The paper focuses on the analysis of claim severity in motor third party liability insurance under the general linear model. The general linear model combines the analyses of variance and regression and makes it possible to measure the influence of categorical factors as well as the numerical explanatory variables on the target variable. In the paper, simple, main and interaction effects of relevant factors have been quantified using estimated regression coefficients and least squares means

Erik Šoltés, Silvia Zelinová, Mária Bilíková

Statistics in Transition New Series, Volume 20 , ISSUE 4, 13–31

Research Article | 29-December-2017

Uterine artery Doppler velocimetry in hypertensive disorder of pregnancy in Nigeria

using the analysis of variance (ANOVA) while the presence of prediastolic notch was analyzed with the Chi Square test.ResultsFor the hypertensive disorders of pregnancy group, resistivity index > 0.66 had a sensitivity of 50.0%, specificity of 69.1% and a positive predictive value of 22.2% for predicting intrauterine growth restriction. The odds ratio was 2.2 with a 95% confidence interval of 0.6–7.8. The presence of prediastolic notching had a sensitivity of 100.0%, specificity of 96.0% and a

Ibukun A. Abidoye, Oluwagbemiga O. Ayoola, Bukunmi M. Idowu, Adeniyi S. Aderibigbe, Olabisi M. Loto

Journal of Ultrasonography, Volume 17 , ISSUE 71, 253–258

Article | 06-July-2017

SMALL AREA ESTIMATION OF INCOME UNDER SPATIAL SAR MODEL

and adapts the idea of parameter estimation for small areas by means of the HB method in the case of known model hyperparameters. The illustration of the approach mentioned above was based on a real-world example concerning household income data. The precision of the direct estimators was determined using own three-stage procedure which employs Balanced Repeated Replication, bootstrap and Generalized Variance Function. Additional simulations were conducted to show the influence of the spatial

Jan Kubacki, Alina Jędrzejczak

Statistics in Transition New Series, Volume 17 , ISSUE 3, 365–390

Article | 01-December-2014

RESEARCH AND RESTORATION TECHNOLOGY OF VIDEO MOTION TARGET DETECTION BASED ON KERNEL METHOD

component analysis assumes that the foreground and background independent, avoid the correlation problem. The two objective functions based on Kernel Independent Component Analysis: analysis of kernel independent component analysis based on kernel canonical component (KCCA) and kernel independent component analysis (KGV) based on the generalized variance. KCCA is the application of canonical correlation analysis in the kernel method, discuss is the first canonical correlation separation component of

Pan Feng, Wang Xiaojun, Wang Weihong

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1516–1534

research-article | 24-April-2020

Genetic intraspecific diversity of Meloidogyne javanica parasitizing vegetables in southern Iran

dendrogram with COPH module nested in the same software was compared using Mantel’s matrix correspondence test (Mantel, 1967). Also, we try to use Mantel test in linear shape for searching correlation between different matrix produced by RAPD and ISSR. Bootstrapping was done using the Winboot with 1000 replicates (Yap and Nelson, 1996) and measurements under 60 were excluded. Frequency analyses were performed to estimate the variance components and their significance levels of genetic variation within

Reza Ghaderi, Ali Asghar Dehghan, Abbas Mokaram Hesar, Akbar Karegar

Journal of Nematology, Volume 52 , 1–13

Article | 20-December-2020

Modelling bid-ask spread conditional distributions using hierarchical correlation reconstruction

expected value, but also the variance to determine the uncertainty of the prediction, or we can use the entire distribution for, e.g. more accurate further calculations or generating random values. 10-fold cross-validation log-likelihood tests were conducted for 22 DAX companies, leading to very accurate predictions, especially when individual models were used for each company, as significant differences were found between their behaviours. An additional advantage of using this methodology is that it

Jarosław Duda, Henryk Gurgul, Robert Syrek

Statistics in Transition New Series, Volume 21 , ISSUE 5, 99–118

Article | 15-August-2021

The effect of topical fluoride varnish on the shear bond strength of orthodontic brackets

® ClearShieldTM 5% NaFl varnish Day 1, 8, and 15; and VanishTM 5% NaFl varnish Day 1, 8, and 15. The samples were coated with their respective varnish, following which, brackets were bonded. Each specimen was subjected to a shear force in a universal testing machine until failure. Data were analysed using the analysis of variance (ANOVA). Results: At all time intervals, the mean SBS of the Vanish groups was not significantly different from the control group, and the shear strength in the

Ruby Thuy-Huy Nhan, Xaoming Xu, Qingzhao Yu, Richard Ballard, Paul Armbruster

Australasian Orthodontic Journal, Volume 31 , ISSUE 1, 14–19

Article | 30-July-2021

Mandibular advancement appliance effects on obstructive sleep apnoea: a prospective three dimensional computed tomography study

subjects completed an Epworth questionnaire and an overnight home sleep test before (T1) and at the end of the study (T2). OSA subjects were provided with a custom-made EMA appliance. Cone beam computed tomographic images were obtained for each subject at T1 and T2. Airway parameters were measured and summarised by grouping. The differences in the measurements T1 – T2 were compared using repeated measures analysis of variance (rmANOVA) and p ≤ 0.05 was considered statistically significant

Ahmed Ghoneima, Cynthia Bodkin, Kelton Stewart, Mark J. Perlow, John Starbuck, Katherine Kula

Australasian Orthodontic Journal, Volume 33 , ISSUE 1, 14–23

Article | 30-July-2021

Application of Pont's index to a Pakistani population: a digital stereomicroscopic study

. An analysis of variance (ANOVA) was applied to determine the differences between arch length and arch perimeter groups. Results: Males had significantly larger mean values for the sums of the incisors, arch widths and expansion indices compared with females (p ≤ 0.05). There were significant differences observed between the large and small, average and small and the average and large arch length groups (p ≤ 0.05) in the maxilla, while a significant difference was observed only between the

Fazal Shahid, Mohammad Khursheed Alam, Mohd Fadhli Khamis, Grant Clement Townsend

Australasian Orthodontic Journal, Volume 33 , ISSUE 2, 236–248

Research Article | 10-July-2018

Development of a Shortened Version of the Adolescent Stress Questionnaire (ASQ-S): construct validity and sex invariance in a large sample of Swedish adolescents

aspects of adolescent health are investigated, inconvenient and problematic.Objective:To evaluate the psychometric properties of a short version of the ASQ-2 (ASQ-S) in terms of construct validity and factorial invariance across gender.Method:The ASQ-2 was translated into Swedish and items were retained from nine of the ten scales based on factor loadings. One scale (stress of emerging adult responsibilities) was removed entirely due to low internal consistency and variance explained. The remaining 27

Malin K. Anniko, Katja Boersma, Nikil Ph. L. van Wijk, Don Byrne, Maria Tillfors

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 6 , ISSUE 1, 4–15

Research Article | 03-December-2018

Broad-based root-knot nematode resistance identified in cowpea gene-pool two

production (EM). Analysis of variance of data for RG and EM per root system identified seven genotypes with broad-based resistance to Meloidogyne javanica (Mj), avirulent (Avr-Mi), and virulent (Mi) M. incognita isolates. Two of the 48 genotypes exhibited specific resistance to both Mi isolates. Most of the genotypes were resistant to Avr-Mi indicating predominance of Rk gene in the collection. Based on RG data, both Mj (VI = 50%) and Mi (VI = 42%) were fourfold more virulent than Avr-Mi (VI = 12

Arsenio D. Ndeve, William C. Matthews, Jansen R. P. Santos, Bao Lam Huynh, Philip A. Roberts

Journal of Nematology, Volume 50 , ISSUE 4, 545–558

Article | 30-July-2021

Dentoskeletal and airway effects of the X-Bow appliance versus removable functional appliances (Frankel-2 and Trainer) in prepubertal Class II division 1 malocclusion patients

consisted of 15 patients treated with the X-Bow appliance. Group IV consisted of 10 untreated Class II patients who served as a control group. Pretreatment (T1) and post-treatment (T2) cephalograms were used to evaluate dentoskeletal and airway changes. Parametric one-way variance analysis (ANOVA) and a paired t-test were used to perform statistical analysis. Results: The decrease in SNA angle was significant in groups I and III, compared with the control group (p < 0.05). SNB angle and Co-GN length

Ezgi Atik, Hande Görücü-Coşkuner, Ilken Kocadereli

Australasian Orthodontic Journal, Volume 33 , ISSUE 1, 3–13

research-article | 30-November-2020

Efficacy of fluoride varnish in treating orthodontically-induced white spot lesions: a systematic review and meta-analysis

synthesis of results Inverse-Variance (IV) fixed-effect method was performed for assessing the changes in the mean DD scores following FV application. Studies which used DD for assessment of WSLs were included in the forest plot. The difference in means and standard deviations (SD) were calculated at the 95% CI. Statistical heterogeneity was assessed by using Chi-square based Q-statistic method and I-squared measurement with significance indicated by p < 0.05. Statistical analyses were performed using

Abdulaziz Alrebdi, Dan Ericson, Syed Saad B. Qasim, Ahmad Albahoth, Abdulelah Al-Sulimani, Jagan Kumar Baskaradoss

Australasian Orthodontic Journal, Volume 37 , ISSUE 2, 147–156

Research Article | 30-November-2013

Impairment in Young Preschool Children with Symptoms of Attention-Deficit/Hyperactivity Disorder and Co-occurring Oppositional Defiant Disorder and Conduct Disorder

defiant disorder was associated with higher impairment scores (M, 6.1; SD, 4.3) than ADHD alone (M, 3.2; SD, 2.9; p < .001. About 30% of the variance of impairment score of ADHD was explained by symptoms of ADHD and co-occurring symptoms of oppositional defiant disorder and conduct disorder. Few gender differences were observed.Overall, these non-referred young children with clinical symptoms of ADHD were only modestly impaired. Impairment related to ADHD occurred mainly in the areas of family

Bothild Bendiksen, Heidi Aase, Elisabeth Svensson, Svein Friis, Anne Margrethe Myhre, Ted Reichborn-Kjennerud, Pål Zeiner

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 2 , ISSUE 3, 95–105

Research Article | 03-March-2021

Modelling and forecasting monthly Brent crude oil prices: a long memory and volatility approach

aggregated variance and the Higuchi methods were applied to test for the presence of long memory in the dataset. Furthermore, four breaks have been detected: in 1986, 1999, 2005, and 2013 using the Bayes information criterion. In the further section of the paper, the Hurst Exponent and Geweke-Porter-Hudak (GPH) methods were used to estimate the values of fractional differences. Thus, some ARFIMA models were identified using AIC (Akaike Information Criterion), BIC (Schwartz Bayesian Information Criterion

Remal Shaher AlـGounmeein, Mohd Tahir Ismail

Statistics in Transition New Series, Volume 22 , ISSUE 1, 29–54

Article | 30-July-2021

Effects of hybrid-Hyrax, Alt-RAMEC and miniscrew reinforced heavy Class III elastics in growing maxillary retrusive patients. A four-year follow-up pilot study

analysis of variance (ANOVA). Results: A positive overjet was achieved in all but one subject. From T1 to T2, A point advanced 3.12 ± 3.42 mm and from T2 to T3 advanced a further 2.21 ± 3.49 mm. Significant initial increases in SNA of 1.05° ± 1.10° (p = 0.004), ANB of 2.71° ± 1.01° (p = 0.00), Wits of 4.49 ± 2.21 mm (p = 0.00) and overjet of 4.90 ± 1.66 mm (p = 0.00) were accomplished and maintained without significant changes in the vertical

Alexandra K. Papadopoulou, Oyku Dalci, Peter Petocz, M. Ali Darendeliler

Australasian Orthodontic Journal, Volume 33 , ISSUE 2, 199–211

Article | 15-September-2020

An evaluation of design-based properties of different composite estimators

For the last several decades, the US Census Bureau has been applying AK composite estimation method for estimating monthly levels and month-to-month changes in unemployment using data from the Current Population Survey (CPS), which uses a rotating panel design. For each rotation group, survey-weighted totals, known as monthin-sample estimates, are derived each month to estimate population totals. Denoting the vector of month-in-sample estimates by Y and the design-based variance-covariance

Daniel Bonnéry, Yang Cheng, Partha Lahiri

Statistics in Transition New Series, Volume 21 , ISSUE 4, 166–190

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