UGC Approved Journal no 63975(19)

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Published in:

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2110451


Registration ID:
316384

Page Number

e255-e271

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Title

Inferential Estimation of Reliability Function for the Inverse Family of Distributions

Abstract

: An inverse family of distributions is recommended. To derive UMVUES and MLES considered the problem of estimating R(t) and P. The estimators are developed when X and Y many follow same, over and above, dissimilar distributions to estimating P. A relative study has been done for the enactment of the two procedures of estimation. The enactment of estimators has been inspected by the Simulation approach.

Key Words

Reliability function; stress-strength set-up; uniformly minimum variance unbiased estimators; maximum likelihood estimators; bootstrap methods

Cite This Article

"Inferential Estimation of Reliability Function for the Inverse Family of Distributions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.e255-e271, October-2021, Available :http://www.jetir.org/papers/JETIR2110451.pdf

ISSN


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

"Inferential Estimation of Reliability Function for the Inverse Family of Distributions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppe255-e271, October-2021, Available at : http://www.jetir.org/papers/JETIR2110451.pdf

Publication Details

Published Paper ID: JETIR2110451
Registration ID: 316384
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: e255-e271
Country: New Delhi, Delhi, India .
Area: Applied Mathematics
ISSN Number: 2349-5162
Publisher: IJ Publication


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