A Note on Point Estimation of System Reliability Exemplified for the Log-Logistic Distribution
Rao G. Srinivasa and
Kantam R. R. L.
Additional contact information
Rao G. Srinivasa: Department of Statistics, J.K.C.College, Guntur, India. gaddesrao@yahoo.com
Kantam R. R. L.: Department of Statistics, Nargarjuna University, Guntur-522510, India
Stochastics and Quality Control, 2004, vol. 19, issue 2, 197-204
Abstract:
Point estimation constitutes the heart of statistics. In this paper the corresponding methods are looked at from the viewpoint of a user and it is shown that point estimation procedures not only have major conceptual deficiencies, but that the corresponding methods offered and recommended in textbooks and journal articles are often confusing and misleading. To exemplify these claims reliability estimation assuming the log-logistic distribution is used. The reliability function is viewed as a parametric function. For certain values of the shape parameter, the scale parameter is estimated and used to obtain reliability estimates.
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1515/EQC.2004.197 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:ecqcon:v:19:y:2004:i:2:p:197-204:n:5
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html
DOI: 10.1515/EQC.2004.197
Access Statistics for this article
Stochastics and Quality Control is currently edited by George P. Yanev
More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().