EconPapers    
Economics at your fingertips  
 

Hypothesis Tests for Limited Failure Survival Distributions

William R. Steinhurst
Additional contact information
William R. Steinhurst: Public Service Department, Montpelier, Vermont

Evaluation Review, 1981, vol. 5, issue 5, 699-711

Abstract: A family of survival distributions that are mixtures of one group which fails according to an exponential law with another group that does not fail has recently come into use in correctional program evaluation. The concept is generalized to include mixtures based on the Weibull distribution. Available graphical and numeric goodness-of-fit tests are discussed and a new test for grouped, multiply censored data due to Turnbull and Weiss (1978) is used to discriminate between the various special cases in this family of mixtures. The goodness-of-fit test is also extended to allow k group tests of hypotheses on the parameters.

Date: 1981
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0193841X8100500507 (text/html)

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:sae:evarev:v:5:y:1981:i:5:p:699-711

DOI: 10.1177/0193841X8100500507

Access Statistics for this article

More articles in Evaluation Review
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:evarev:v:5:y:1981:i:5:p:699-711