A transformation for testing the fit of an exponential order statistics model

DOI10.1016/0304-4149(89)90044-6zbMath0731.62150OpenAlexW1964457150MaRDI QIDQ808139

George B. Finelli, Larry Lee

Publication date: 1989

Published in: Stochastic Processes and their Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0304-4149(89)90044-6

zbMATH Keywords

simulationsoftware reliabilityminimal sufficient statisticscensored samplingconditional probability integral transformationexponential order statistics modelJelinski-Moranda modellinear pure birth processnonuniform distributionsordered failure timesPoisson model with log linear rate functiontest of fit proceduretruncated sampling

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03) Order statistics; empirical distribution functions (62G30) Reliability and life testing (62N05) Sufficient statistics and fields (62B05)

Related Items

Cpit goodness-of-fit tests for the power-law process

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• The conditional probability integral transformation and applications to obtain composite chi-square goodness-of-fit tests
• Exponential order statistic models of software reliability growth
• Likelihood Function of a Debugging Model for Computer Software Reliability
• Initial size estimation for the linear pure death process
• Estimating Population Size with Exponential Failure
• Simulation of nonhomogeneous Poisson processes with log linear rate function
• Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures
• On the times of births in a linear birthprocess
• Remarks on a Multivariate Transformation

This page was built for publication: A transformation for testing the fit of an exponential order statistics model