On estimating the population mean using auxiliary character in stratified random sampling
In this article, we propose an exponential estimator in the stratified random sampling taking
an auxiliary attribute. Expressions for MSE of the proposed estimators are derived up to first …
an auxiliary attribute. Expressions for MSE of the proposed estimators are derived up to first …
[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 …
[PDF][PDF] Exponential type estimator for The population mean under Ranked set sampling
KUI Rather, C Kadilar - Journal of Statistics: Advances in Theory and …, 2021 - academia.edu
We propose a new exponential type estimator for the population mean by adapting the
estimator suggested by Kadilar [12] to the Ranked Set Sampling (RSS). Theoretically and …
estimator suggested by Kadilar [12] to the Ranked Set Sampling (RSS). Theoretically and …
An efficient generalized randomized response model
In this paper, we have proposed a generalized randomized response model to find an
unbiased estimator of sensitive population proportion. Further we obtain the variance of this …
unbiased estimator of sensitive population proportion. Further we obtain the variance of this …
[PDF][PDF] Modified ratio cum product type exponential estimator of population mean in stratified random sampling
KUI Rather, CN Bouza, SEH Rizvi… - Revista Investigación …, 2022 - researchgate.net
In this article, we proposed a novel dual to ratio cum product type exponential estimator in
stratified random sampling. The bias and mean square error up to the first degree of …
stratified random sampling. The bias and mean square error up to the first degree of …
Bayes quadratic unbiased estimator of variance component in multi-samples repeated measurements ANOVA Model (Multi-RMM)
JM Ali Al-Isawi, AS AL-Mouel, AH Ali - Journal of Statistics and …, 2022 - Taylor & Francis
In this paper, we present the best quadratic unbiased estimator of variance components for
unbalanced data for linear repeated measurement model (RMM). The Bayes quadratic …
unbalanced data for linear repeated measurement model (RMM). The Bayes quadratic …
Some convex-type classes of estimators of finite population mean under random non-response
The non-response is a common phenomenon in most of the sample surveys. The nature of
non-response is usually found to be random in survey sampling. In the present paper, we …
non-response is usually found to be random in survey sampling. In the present paper, we …
[PDF][PDF] Bayes quadratic unbiased estimator of variance component in multi-samples repeated measurements ANOVA Model (Multi-RMM)
JMA Al-Isawi, AS AL-Mouel, AH Ali - Journal of Statistics and …, 2022 - researchgate.net
In this paper, we present the best quadratic unbiased estimator of variance components for
unbalanced data for linear repeated measurement model (RMM). The Bayes quadratic …
unbalanced data for linear repeated measurement model (RMM). The Bayes quadratic …
[PDF][PDF] An Improvement in Estimating the Population Mean Based on Family of Estimators with Different Application Areas
Ü Ceren, C KADILAR - Gazi University Journal of Science Part A …, 2023 - dergipark.org.tr
In a sampling study, the complete information for the necessary variables may not always be
available in practice. Therefore, the non-response situation has been considered for …
available in practice. Therefore, the non-response situation has been considered for …
Computing the population mean in stratified sampling using an auxiliary attribute
This paper proposes a novel ratio type estimator for the population mean using an auxiliary
attribute by implying one auxiliary variable in stratified random sampling using conventional …
attribute by implying one auxiliary variable in stratified random sampling using conventional …