UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRAB06185


Registration ID:
197726

Page Number

989-994

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Title

RATIO CUM MEDIAN BASED MODIFIED RATIO ESTIMATORS WITH KNOWN QUARTILES AND SKEWNESS

Abstract

In this paper, some ratio cum median based modified ratio estimators with known quartiles and skewness of the auxiliary variable have been proposed. The performance of the proposed class of estimators is assessed with that of simple random sampling without replacement (SRSWOR) sample mean, ratio estimator and modified ratio estimators in terms of variance/mean squared errors. The performance of proposed class of estimators is illustrated with the help of certain natural population available in the literature. The percentage relative efficiency of the proposed class of estimators with respect to SRSWOR sample mean, ratio estimator and some of the existing modified ratio estimators are also obtained.

Key Words

Auxiliary variable; Bias; Mean squared error; Natural population; Percentage relative efficiency; Simple random sampling

Cite This Article

"RATIO CUM MEDIAN BASED MODIFIED RATIO ESTIMATORS WITH KNOWN QUARTILES AND SKEWNESS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.989-994, February-2019, Available :http://www.jetir.org/papers/JETIRAB06185.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"RATIO CUM MEDIAN BASED MODIFIED RATIO ESTIMATORS WITH KNOWN QUARTILES AND SKEWNESS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp989-994, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06185.pdf

Publication Details

Published Paper ID: JETIRAB06185
Registration ID: 197726
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 989-994
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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