On the efficiency of ratio estimator over the regression estimator
It is well known that the ratio and product estimators have the limitation of having efficiency
not exceeding that of the linear regression estimator. This paper develops a new approach …
not exceeding that of the linear regression estimator. This paper develops a new approach …
[HTML][HTML] Evolving techniques for enhanced estimation: A comprehensive survey of stratified sampling and post-stratification methods
This comprehensive review delves into the landscape of estimators used in stratified
sampling and post-stratification to estimate crucial population parameters, such as mean …
sampling and post-stratification to estimate crucial population parameters, such as mean …
GENERALIZED EXPONENTIAL-TYPE RATIO-CUM-RATIO AND PRODUCT-CUM-PRODUCT ESTIMATORS FOR POPULATION MEAN IN THE PRESENCE OF NON …
In this paper, generalized exponential-type estimators have been proposed for estimating
the finite population mean of study variable using information on two auxiliary variables in …
the finite population mean of study variable using information on two auxiliary variables in …
A family of ratio estimators in stratified random sampling utilizing auxiliary attribute along side the nonresponse issue
This article proposes some estimators based on an adaptation of the estimators developed
by Bahl and Tuteja [1], Diana [2], Koyuncu and Kadilar [3], Koyuncu and Kadilar [4], Shabbir …
by Bahl and Tuteja [1], Diana [2], Koyuncu and Kadilar [3], Koyuncu and Kadilar [4], Shabbir …
A generalized class of estimators for estimating population mean in the presence of non-response
Koyuncu and Kadilar proposed an estimator based on single auxiliary variable with
complete response in stratified random sampling. In this paper, we extended Koyuncu and …
complete response in stratified random sampling. In this paper, we extended Koyuncu and …
[PDF][PDF] Modified classes of stratified exponential ratio estimators of population mean with equal optimal efficiency
This paper introduces new classes of exponential ratio estimators for population mean and
derives expressions for their biases and mean square errors (MSEs) under the large sample …
derives expressions for their biases and mean square errors (MSEs) under the large sample …
Estimation of population mean in post-stratified sampling using known value of some population parameter (s)
AC Onyeka - Statistics in Transition. New Series, 2012 - ceeol.com
Following Khoshnevisan et. al.(2007) and Koyuncu and Kadilar (2009), this paper develops
a general family of combined estimators of the population mean in post-stratified sampling …
a general family of combined estimators of the population mean in post-stratified sampling …
[PDF][PDF] Improved family of ratio estimators of finite population variance in stratified random sampling
PC Etebong - Biostatistics and Biometrics Open Access Journal, 2018 - researchgate.net
This paper introduces a new family of exponential ratio estimators of population variance in
stratified random sampling and studies its properties. Based on Bahl & Tuteja [1], Kadillar & …
stratified random sampling and studies its properties. Based on Bahl & Tuteja [1], Kadillar & …
Almost unbiased optimum ratio-type estimator for estimating population mean in stratified sampling in presence of non-response
In this paper we have proposed classes of ratio-type estimators for finite population mean in
presence of non-response in stratified sampling. The properties of the estimators have been …
presence of non-response in stratified sampling. The properties of the estimators have been …
Assessing the Effect of Non-response in Stratified Random Sampling using Enhanced Ratio Type Estimators under Double Sampling Strategy.
SEH Rizvi - Pakistan Journal of Statistics and Operation Research, 2023 - pjsor.com
In this paper, separate and combined ratio type estimators have been proposed in presence
of non-response for estimating the population mean under stratified random sampling when …
of non-response for estimating the population mean under stratified random sampling when …