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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
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