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  • Statistics In Transition

 

Research paper | 30-October-2017

SOME CLASSES OF MODIFIED RATIO TYPE ESTIMATORS IN SAMPLE SURVEYS

In this paper some classes of modified ratio type estimators with additive and multiplicative adjustments made to the simple mean per unit estimator and classical ratio estimator are suggested to obtain more efficient ratio type estimators compared to the classical one. Their biases and mean square errors are obtained and compared with first order approximations.

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

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

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

Article | 03-March-2021

A new family of robust regression estimators utilizing robust regression tools and supplementary attributes

Irsa Sajjad, Muhammad Hanif, Nursel Koyuncu, Usman Shahzad, Nadia H. Al-Noor

Statistics in Transition New Series, Volume 22 , ISSUE 1, 207–216

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 | 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

Article | 22-January-2018

NEW APPROACHES USING EXPONENTIAL TYPE ESTIMATOR WITH COST MODELLING FOR POPULATION MEAN ON SUCCESSIVE WAVES

The key and fundamental purpose of sampling over successive waves lies in the varying nature of study character, it so may happen with ancillary information if the time lag between two successive waves is sufficiently large. Keeping the varying nature of auxiliary information in consideration, modern approaches have been proposed to estimate population mean over two successive waves. Four exponential ratio type estimators have been designed. The properties of proposed estimators have been

Kumari Priyanka, Richa Mittal

Statistics in Transition New Series, Volume 18 , ISSUE 4, 569–587

Research Article | 13-June-2021

Developing calibration estimators for population mean using robust measures of dispersion under stratified random sampling

In this paper, two modified, design-based calibration ratio-type estimators are presented. The suggested estimators were developed under stratified random sampling using information on an auxiliary variable in the form of robust statistical measures, including Gini’s mean difference, Downton’s method and probability weighted moments. The properties (biases and MSEs) of the proposed estimators are studied up to the terms of first order approximation by means of Taylor’s Series

Ahmed Audu, Rajesh Singh, Supriya Khare

Statistics in Transition New Series, Volume 22 , ISSUE 2, 125–142

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