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  • Statistics In Transition

 

Sampling Methods | 22-July-2018

EFFICIENT ESTIMATORS OF POPULATION MEAN USING AUXILIARY INFORMATION UNDER SIMPLE RANDOM SAMPLING

Mir Subzar, Showkat Maqbool, Tariq Ahmad Raja, Surya Kant Pal, Prayas Sharma

Statistics in Transition New Series, Volume 19 , ISSUE 2, 219–238

Article | 13-December-2019

ESTIMATING POPULATION COEFFICIENT OF VARIATION USING A SINGLE AUXILIARY VARIABLE IN SIMPLE RANDOM SAMPLING

Rajesh Singh, Madhulika Mishra

Statistics in Transition New Series, Volume 20 , ISSUE 4, 89–111

Article | 06-July-2017

ESTIMATION OF MEAN ON THE BASIS OF CONDITIONAL SIMPLE RANDOM SAMPLE

Estimation of the population mean in a finite and fixed population on the basis of the conditional simple random sampling design dependent on order statistics (quantiles) of an auxiliary variable is considered. Properties of the well-known Horvitz-Thompson and ratio type estimators as well as the sample mean are taken into account under the conditional simple random sampling designs. The considered examples of empirical analysis lead to the conclusion that under some additional conditions the

Janusz Wywiał

Statistics in Transition New Series, Volume 17 , ISSUE 3, 411–428

Research paper | 30-October-2017

SOME CLASSES OF MODIFIED RATIO TYPE ESTIMATORS IN SAMPLE SURVEYS

A. K. P. C. Swain, Manjula Das

Statistics in Transition New Series, Volume 16 , ISSUE 1, 37–52

Sampling Methods | 20-November-2017

POPULATION VARIANCE ESTIMATION USING FACTOR TYPE IMPUTATION METHOD

RANJITA PANDEY, KALPANA YADAV

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

Article | 06-July-2017

A NEW MEDIAN BASED RATIO ESTIMATOR FOR ESTIMATION OF THE FINITE POPULATION MEAN

J. Subramani

Statistics in Transition New Series, Volume 17 , ISSUE 4, 591–604

Sampling Methods | 22-July-2018

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

In this article, we propose a class of generalized exponential type estimators to estimate the finite population mean by using two auxiliary variables under non-response in simple random sampling. The proposed estimator under non-response in different situations has been studied and gives minimum mean square error as compared to all other considered estimators. Usual exponential ratio type estimator, exponential product type estimator and many more estimators are also identified from the

Siraj Muneer, Javid Shabbir, Alamgir Khalil

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

Article | 13-December-2019

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

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

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

Article | 27-May-2019

NONRANDOMIZED RESPONSE MODEL  FOR COMPLEX SURVEY DESIGNS

Warner’s randomized response (RR) model is used to collect sensitive information for a broad range of surveys, but it possesses several limitations such as lack of reproducibility, higher costs and it is not feasible for mail questionnaires. To overcome such difficulties, nonrandomized response (NRR) surveys have been proposed. The proposed NRR surveys are limited to simple random sampling with replacement (SRSWR) design. In this paper, NRR procedures are extended to complex survey

Raghunath Arnab, Dahud Kehinde Shangodoyin, Antonio Arcos

Statistics in Transition New Series, Volume 20 , ISSUE 1, 67–86

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 | 24-August-2017

EFFICIENT FAMILY OF RATIO-TYPE ESTIMATORS FOR MEAN ESTIMATION IN SUCCESSIVE SAMPLING ON TWO OCCASIONS USING AUXILIARY INFORMATION

In this paper, we proposed an efficient family of ratio-type estimators using one auxiliary variable for the estimation of the current population mean under successive sampling scheme. This family of estimators have been studied by Ray and Sahai (1980) under simple random sampling using one auxiliary variable for estimation of the population mean. Using these estimators in successive sampling, the expression for bias and mean squared error of the proposed estimators are obtained up to the first

Nazeema T. Beevi, C. Chandran

Statistics in Transition New Series, Volume 18 , ISSUE 2, 227–245

Sampling Methods | 27-May-2018

JOINT RESPONSE PROPENSITY AND CALIBRATION METHOD

based on a real survey were used for comparison. The sampling design used was stratified simple random sampling, but the same methodology works for multi-stage sampling as well. Eight indicators were examined and estimated. We found differences in the performance of the reweighting methods. However, the main conclusion was that the response propensity weights are the best starting weights for calibration, since the auxiliary variables can be more completely exploited in this case. We also tested

Seppo Laaksonen, Auli Hämäläinen

Statistics in Transition New Series, Volume 19 , ISSUE 1, 45–60

Article | 24-August-2017

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

individuals possessing those sensitive attributes can potentially eliminate the bias. Following Chaudhuri and Dihidar (2014) and Dihidar (2016), here, as a possible variant, we have made an attempt to estimate the sensitive population proportion using a combination of binomial and hypergeometric randomized responses by direct and inverse mechanism. Along with the traditional simple random sampling, with and without replacement, we consider here sampling of respondents by unequal probabilities. Essential

Kajal Dihidar, Manjima Bhattacharya

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

original-paper | 01-May-2021

Screening of Human Immunodeficiency Virus (HIV) among Newly Diagnosed Tuberculosis Patients in Eastern Sudan

extrapulmonary TB patients. A total of 251 TB patients attending Kassala Teaching Hospital during the period of the study were recruited by simple random sampling after consent was obtained. Information, such as age, gender, socioeconomic background, education level, and residence area, was collected by a structured questionnaire. All patients were tested for TB according to the recommendations of the national TB program by using direct ZN stain and Xpert MTB/RIF (Cepheid, Sunnyvale, CA, USA). TB diagnosis

GADA MUSTAFA AHMED MUSTAFA, MUSTAFA ELTIGANI YASSIN, ASHWAG SHAMI, SAMAH ABDU RAHIM

Polish Journal of Microbiology, Volume 70 , ISSUE 2, 201–206

original-paper | 06-April-2020

Prevalence of Multi-Drug Resistant Mycobacterium Tuberculosis in Khyber Pakhtunkhwa – A High Tuberculosis Endemic Area of Pakistan

prevalent in the Khyber Pakhtunkhwa (KPK) province of Pakistan. MDR-TB is notified after a confirmatory DST test performed at the central BSL-III laboratory. Experimental Material and Methods Study site. Random samples were collected from 25 districts of KPK using a simple random sampling (SRS) formula, which was previously used in a national TB survey of Pakistan: n⁢ (S⁢R⁢S)=N×z2×p×(1−p)d2×(N−1)+z2×p×(1−p) where SRS – Sample Random Sampling N – total number of new smear positive cases registered

SAJID ALI, MUHAMMAD TAHIR KHAN, ANWAR SHEED KHAN, NOOR MOHAMMAD, MUHAMMAD MUMTAZ KHAN, SAJJAD AHMAD, SADIQ NOOR, ABDUL JABBAR, CANTILLON DAIRE, FARIHA HASSAN

Polish Journal of Microbiology, Volume 69 , ISSUE 2, 133–137

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