An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables

Joint Authors

Vishwakarma, Gajendra K.
Kumar, Manish

Source

Journal of Probability and Statistics

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-03-06

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Mathematics

Abstract EN

This paper presents a technique for estimating finite population mean of the study variablein the presence of two auxiliary variables using two-phase sampling scheme when the regression line does not pass through the neighborhood of the origin.

The properties of the proposed class of estimators are studied under large sample approximation.

In addition, bias and efficiency comparisons are carried out to study the performances ofthe proposed class of estimators over the existing estimators.

It has also been shown that the proposed technique has greater applicability in survey research.

An empirical study is carried out to demonstrate the performance of the proposed estimators.

American Psychological Association (APA)

Vishwakarma, Gajendra K.& Kumar, Manish. 2014. An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables. Journal of Probability and Statistics،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1042861

Modern Language Association (MLA)

Vishwakarma, Gajendra K.& Kumar, Manish. An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables. Journal of Probability and Statistics No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1042861

American Medical Association (AMA)

Vishwakarma, Gajendra K.& Kumar, Manish. An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables. Journal of Probability and Statistics. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1042861

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1042861