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  • Statistics In Transition

 

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

research-article | 30-November-2020

The prevalence of posterior tongue tie in patients with transverse maxillary deficiency

narrow maxilla which requires expansion for appropriate maxillary and mandibular decompensation. Recently, a maxillary skeletal expander (MSE; Biomaterials Korea Inc., Seoul, Korea) has been widely applied in patients with a severely narrowed maxilla involving a transverse discrepancy between the jaws.13–16 The MSE consists of a jackscrew and four temporary anchorage devices which are rigidly attached to the palate, in order to direct an expansion force against an interlocked midpalatal suture

Wakako Tome, Won Moon

Australasian Orthodontic Journal, Volume 37 , ISSUE 2, 294–300

Sampling Methods | 20-November-2017

ON ASYMMETRY OF PREDICTION ERRORS IN SMALL AREA ESTIMATION

The mean squared error reflects only the average prediction accuracy while the distribution of squared prediction error is positively skewed. Hence, assessing or comparing accuracy based on the MSE (which is the mean of squared errors) is insufficient and even inadequate because we should be interested not only in the average but in the whole distribution of prediction errors. This is the reason why we propose to use different than MSE measures of prediction accuracy in small area estimation

Tomasz Żądło

Statistics in Transition New Series, Volume 18 , ISSUE 3, 413–432

Sampling Methods | 22-July-2018

A GENERALIZED EXPONENTIAL TYPE ESTIMATOR OF POPULATION MEAN IN THE PRESENCE OF NON-RESPONSE

Siraj Muneer, Javid Shabbir, Alamgir Khalil

Statistics in Transition New Series, Volume 19 , ISSUE 2, 259–276

Research Communicate | 27-May-2018

PRODUCT EXPONENTIAL METHOD OF IMPUTATION IN SAMPLE SURVEYS

Shakti Prasad

Statistics in Transition New Series, Volume 19 , ISSUE 1, 159–166

Research Communicate | 18-March-2020

Generalized exponential estimators for the finite population mean

This study proposes a new class of exponential-type estimators in simple random sampling for the estimation of the population mean of the study variable using information of the population proportion possessing certain attributes. Theoretically, mean squared error (MSE) equations of the suggested ratio exponential estimators are obtained and compared with the Naik and Gupta (1996) ratio and product estimators, the ratio and product exponential estimator presented in Singh et al. (2007) and the

Tolga Zaman

Statistics in Transition New Series, Volume 21 , ISSUE 1, 159–168

Article | 27-December-2017

IDENTIFICATION OF ELECTRO-HYDRAULIC ACTUATOR USING FRACTIONAL MODEL

, the derivative order of FO model is estimated. These models has been validated by comparison of error, coefficient of determination (R2), mean square error (MSE) and correlation function. The results for the proposed model show improvement compared to the IO model.

Nuzaihan Mhd Yusof, Norlela Ishak, Ramli Adnan, Yahaya Md. Sam, Mazidah Tajjudin, Mohd Hezri Fazalul Rahiman

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 32–48

Research Article | 13-June-2021

Small area estimates of the low work intensity indicator at voivodeship level in Poland

2005-2012 was estimated. The Rao and You (1994), Fay and Diallo (2012), and Marhuenda, Molina and Morales (2013) models were applied. The bootstrap MSE for the discussed methods was proposed. The results indicate that these models provide more reliable estimates than direct estimation.

Łukasz Wawrowski, Maciej Beręsewicz

Statistics in Transition New Series, Volume 22 , ISSUE 2, 155–172

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 | 01-June-2020

On the choice of the number of Monte Carlo iterations and bootstrap replicates in Empirical Best Prediction

Empirical Best Predictors (EBPs) are widely used for small area estimation purposes. In the case of longitudinal surveys, this class of predictors can be used to predict any given population or subpopulation characteristic for any time period, including future periods. Generally, the value of an EBP is computed by means of Monte Carlo algorithms, while its MSE is usually estimated using the parametric bootstrap method. Model-based simulation studies of the properties of the predictors require

Adam Chwila, Tomasz Żądło

Statistics in Transition New Series, Volume 21 , ISSUE 2, 35–60

Article | 20-December-2020

Some linear regression type ratio exponential estimators for estimating the population mean based on quartile deviation and deciles

Shakti Prasad

Statistics in Transition New Series, Volume 21 , ISSUE 5, 85–98

Article | 06-July-2017

PREDICTION OF A FUNCTION OF MISCLASSIFIED BINARY DATA

correct the bias of the naive predictor using a double sampling idea where both inaccurate and accurate measurements are taken on the binary variable for all the units of a sample drawn from the original data using a probability sampling scheme. Using this additional information and design-based sample survey theory, we derive a biascorrected predictor. We examine the cases where the new bias-corrected predictors can also improve over the naive predictor in terms of mean square error (MSE).

Noriah M. Al-Kandari, Partha Lahiri

Statistics in Transition New Series, Volume 17 , ISSUE 3, 429–447

Article | 01-March-2015

A NOVEL APPROACH OF COMBINING STEGANOGRAPHY ALGORITHMS

Hamdan Lateef Jaheel, Zou Beiji

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 90–106

Article | 01-June-2015

A NOVEL KNOWLEDGE-COMPATIBILITY BENCHMARKER FOR SEMANTIC SEGMENTATION

the n-Support Vector regression. It achieves best performance at an R2-score of 0.737 and an MSE of 0.034. This indicates not only that the vision-based knowledge resembles humans’ common sense but also that the feature vector for regression is justifiable.

Vektor Dewanto, Aprinaldi, Zulfikar Ian, Wisnu Jatmiko

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1284–1312

Article | 01-September-2015

FRAGRANCE MEASUREMENT OF SCENTED RICE USING ELECTRONIC NOSE

Analysis (LDA) for identification of different rice varieties. Finally, for aroma quantifying, pure-quadratic response surface methodology model used with mean square error (MSE) 0.0028.

Arun Jana, Nabarun Bhattacharyya, Rajib Bandyopadhyay, Bipan Tudu, Subhankar Mukherjee, Devdulal Ghosh, Jayanta Kumar Roy

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 3, 1730–1747

Article | 27-May-2019

PLANNING THE NEXT CENSUS  FOR ISRAEL

Danny Pfeffermann, Dano Ben-Hur, Olivia Blum

Statistics in Transition New Series, Volume 20 , ISSUE 1, 7–19

Article | 13-June-2021

A comparative study of a class of direct estimators for domain mean with a direct ratio estimator for domain mean using auxiliary character

Brij Behari Khare, Ashutosh Ashutosh, Piyush Kant Rai

Statistics in Transition New Series, Volume 22 , ISSUE 2, 189–200

Article | 23-April-2018

Research on A Quantitative Assessment Model Based on Visual Perception in Low-Altitude Remote Sensing

perception. The experimental results show that the model has a strong judgment force on the object group with obvious difference in the image quality evaluation. The accuracy rate of the sample group is 92%. In the aspect of visual perception, , The MSE of the model index curve is obviously lower than the comprehensive evaluation method and the PSNR measurement method, which indicates that the model has certain advantages in the degree of visual perception and the correlation with the visual perception

Jianqiang Lu, Weixing Wang, Kexin Chen, Bing Jiang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 166–170

Research paper | 01-November-2017

COVARIATE SELECTION FOR SMALL AREA ESTIMATION IN REPEATED SAMPLE SURVEYS

case study. Municipal estimates of three survey variables are obtained using area level models. The proposed averaging strategy is compared to the standard method of considering each edition separately, and to an elementary approach using covariates selected in the first edition. Resulting models, point estimates and MSE estimates are analyzed, indicating no substantial adverse effects of the conceptually attractive averaging strategy.

Jan A. van den Brakel, Bart Buelens

Statistics in Transition New Series, Volume 16 , ISSUE 4, 523–540

Article | 01-June-2015

DESIGN AND IMPLEMENTATION STEGANOGRAPHY SYSTEM BY USING VISIBLE IMAGE

for the hidden message, we will require additional security level to protect the secret image, which leads to increased complexity of retrieving the secrete image. The results prove the success of system after the secret image is retrieved successfully. The value of MSE, SNR and PSNR is calculated, which refers to an acceptable steganography system.

Hamdan Lateef Jaheel, Zou Beiji, Ahmed Lteef Jaheel

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1011–1030

Article | 06-July-2017

SMALL AREA ESTIMATION OF INCOME UNDER SPATIAL SAR MODEL

autoregression coefficient on the estimation error reduction. The computations performed by ‘sae’ package for R project and a special procedure for WinBUGS reveal that the method provides reliable estimates of small area means. For high spatial correlation between domains, noticeable MSE reduction was observed, which seems more evident for HB-SAR method as compared with the traditional spatial EBLUP. In our opinion, the Gibbs sampler, revealing the simultaneous nature of processes, especially for random

Jan Kubacki, Alina Jędrzejczak

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

Article | 13-December-2019

ESTIMATION OF INCOME CHARACTERISTICS FOR REGIONS IN POLAND USING SPATIO-TEMPORAL SMALL AREA MODELS

contrasted with EBLUPs based on spatial models obtained separately for each year and with EBLUPs based on the Rao-Yu model. The computations were performed using sae, sae2 and spdep packages for R-project environment. In the case of sae package, the eblupFH, eblupSFH and the eblupSTFH functions were used for point estimation along with the mseFH, mseSFH and the pbmseSTFH functions for the MSE estimation, whereas the eblupRY function was applied for the purposes of sae2 package. The precision of direct

Alina Jędrzejczak, Jan Kubacki

Statistics in Transition New Series, Volume 20 , ISSUE 4, 113–134

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