Journal of Statistical Theory and Applications

Volume 16, Issue 4, December 2017, Pages 476 - 489

Efficient Utilization of Auxiliary Information on Estimation of Population Mean Using Exponential Type Estimators in Successive Sampling

Authors
Surya K. Pal, Housila P. Singh
Corresponding Author
Surya K. Pal
Received 12 February 2016, Accepted 25 December 2016, Available Online 1 December 2017.
DOI
10.2991/jsta.2017.16.4.5How to use a DOI?
Keywords
Auxiliary variable; Study variable; Successive sampling; Optimum replacement policy; Efficiency.
Abstract

This paper advocates the problem of estimating the population mean on the current occasion in two occasion successive (rotation) sampling under the transformed auxiliary variable using exponential method of estimation. Four different type estimators are suggested for estimating the current population mean in two occasion successive (rotation) sampling. Optimum replacement policies and performance of suggested estimators have been discussed. Outcomes are interpreted through empirical study.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Journal
Journal of Statistical Theory and Applications
Volume-Issue
16 - 4
Pages
476 - 489
Publication Date
2017/12/01
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.2017.16.4.5How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Surya K. Pal
AU  - Housila P. Singh
PY  - 2017
DA  - 2017/12/01
TI  - Efficient Utilization of Auxiliary Information on Estimation of Population Mean Using Exponential Type Estimators in Successive Sampling
JO  - Journal of Statistical Theory and Applications
SP  - 476
EP  - 489
VL  - 16
IS  - 4
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2017.16.4.5
DO  - 10.2991/jsta.2017.16.4.5
ID  - Pal2017
ER  -