EconPapers    
Economics at your fingertips  
 

ON A GENERALIZATION OF THE POSITIVE EXPONENTIAL FAMILY OF DISTRIBUTIONS AND THE ESTIMATION OF RELIABILITY CHARACTERISTICS

Surinder Kumar and Aditi Chaturvedi ()
Additional contact information
Surinder Kumar: Babasaheb Bhimrao Ambedkar University
Aditi Chaturvedi: Babasaheb Bhimrao Ambedkar University

Statistica, 2020, vol. 80, issue 1, 57-77

Abstract: A generalization of positive exponential family of distributions developed by Liang (2008) is taken into consideration. Its properties are studied. Two measures of reliability are discussed. Uniformly minimum variance unbiased estimators (UMVUES), maximum likelihood estimators (MLES) and method of moment estimators (MMES) are developed for the reliability functions. The performances of three types of estimators are compared through Monte Carlo simulation. Real life data sets are also analyzed.

Keywords: Generalized positive exponential family; MLE; MME; Reliability; UMVUE (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:bot:rivsta:v:80:y:2020:i:1:p:57-77

Access Statistics for this article

Statistica is currently edited by Department of Statistics, University of Bologna

More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().

 
Page updated 2025-03-19
Handle: RePEc:bot:rivsta:v:80:y:2020:i:1:p:57-77