Chain regression-type estimator using multiple auxiliary information in successive sampling

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

Hacettepe Journal of Mathematics and Statistics
Volume:44 Issue:5
Chain regression-type estimator using multiple auxiliary information in successive sampling

Chain regression-type estimator using multiple auxiliary information in successive sampling

Authors : Housila P SİNGH, Manoj Kumar SRİVASTAVA, Namita SRİVASTAVA, Tanveer A TARRAY, Virendra SİNGH, Shivam DİXİT

Pages : 1247-1256

View : 25 | Download : 7

Publication Date : 2015-10-01

Article Type : Research Paper

Abstract :In successive sampling, the use of auxiliary information for estimation of population mean on current occasion is a well explored area. In the present work, the information on an auxiliary variable, which is available on both the occasions, is used along with the information on the study variable from the previous occasion and the current occa- sion. Consequently, chain regression-type estimator for estimating the population mean are proposed in two occasions successive sampling. The optimal replacement policy is also discussed. We have also given an empirical study along with pictorial representation to examine the merit of the proposed estimator.
Keywords : Successive sampling, Chain type ratio estimator, Optimal replace ment policy, Rotation pattern, Auxiliary information, Double sampling

ORIGINAL ARTICLE URL

VIEW PAPER (PDF)

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.