ScholarLens Back to search
2014•NRCT Data CenterOpen access

Modified Ratio Estimators in Stratified Random Sampling

Prayad Sangngam

Open full text 0 citations

Abstract

Abstract This paper considers two modified ratio estimators of population mean in stratified random sampling. The approximated mean squared error and bias of the proposed estimators are derived and theoretically compared with those of the existing estimators. The results show that the modified estimators produce smaller mean squared error and bias than the existing estimators in some conditions. Moreover, the theoretical result is confirmed by using a census data set. Keywords: Ratio estimator, Mean squared error, Stratified random sampling.

About this research paper

What this paper is about

Abstract This paper considers two modified ratio estimators of population mean in stratified random sampling. The approximated mean squared error and bias of the proposed estimators are derived and theoretically compared with those of the existing estimators. The results show that the modified estimators produce smaller mean squared error and bias than the existing estimators in some conditions. Moreover, the theoretical result is confirmed by using a census data set. Keywords: Ratio estimator, Mean squared error, Stratified random sampling.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract This paper considers two modified ratio estimators of population mean in stratified random sampling. The approximated mean squared error and bias of the proposed estimators are derived and theoretically compared with those of the existing estimators. The results show that the modified estimators produce smaller mean squared error and bias than the existing estimators in some conditions. Moreover, the theoretical result is confirmed by using a census data set. Keywords: Ratio estimator, Mean squared error, Stratified random sampling.

Key concepts: Estimator, Stratified sampling, Population mean, Mean squared error, Statistics, Mathematics, Ratio estimator, Sampling (signal processing)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Modified Ratio Estimators in Stratified Random Sampling — Research Paper | ScholarLens