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Reza Pakyari

Reza Pakyari

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
Faculty: Science
Address: Arak University
Phone:

Research

Title
Testing goodness-of-fit for some lifetime distributions with conventional Type-I censoring
Type
JournalPaper
Keywords
Anderson–Darling statistic; Cramér–von Mises statistic; Empirical power; Goodness-of-fit testing; Monte Carlo simulation; Order statistics; Type-I censoring; Uniform distribution
Year
2017
Journal Communications in Statistics - Simulation and Computation
DOI
Researchers Reza Pakyari ، kowsar resalati nia

Abstract

A goodness-of-fit test procedure is proposed for some lifetime distributions when the available data are subject to Type-I censoring. The proposed method extends the test procedure of Pakyari and Balakrishnan to other lifetime distributions. The extension toWeibull and log-normal models is studied in details. The new test recovers the nominal level of significance and exhibits more power in comparison to the existing tests for several alternative distributions by means of Monte Carlo simulations. Finally, a real dataset is considered for illustrative purposes.