ScholarLens Back to search
2016•viXraRequires access

An Improved Suggestion in Stratified Random Sampling Using Two Auxiliary Variables

Rajesh Pratap Singh, Sachin Malik, Florentín Smarandache

Open publisher page 0 citations

Abstract

In this paper, we suggest an estimator using two auxiliary variables in stratified random sampling following Malik and Singh. The propose estimator has an improvement over mean per unit estimator as well as some other considered estimators. Expressions for bias and MSE of the estimator are derived up to first degree of approximation. Moreover, these theoretical findings are supported by a numerical example with original data.

About this research paper

What this paper is about

In this paper, we suggest an estimator using two auxiliary variables in stratified random sampling following Malik and Singh. The propose estimator has an improvement over mean per unit estimator as well as some other considered estimators. Expressions for bias and MSE of the estimator are derived up to first degree of approximation. Moreover, these theoretical findings are supported by a numerical example with original data.

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

In this paper, we suggest an estimator using two auxiliary variables in stratified random sampling following Malik and Singh. The propose estimator has an improvement over mean per unit estimator as well as some other considered estimators. Expressions for bias and MSE of the estimator are derived up to first degree of approximation. Moreover, these theoretical findings are supported by a numerical example with original data.

Key concepts: Stratified sampling, Estimator, Mathematics, Statistics, Mean squared error, Applied mathematics, Minimum-variance unbiased estimator, Sampling (signal processing)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
An Improved Suggestion in Stratified Random Sampling Using Two Auxiliary Variables — Research Paper | ScholarLens