Statistical inference for geometric processes with gamma distributions

DOI10.1016/J.CSDA.2003.12.004zbMath1429.62377OpenAlexW4238595107MaRDI QIDQ957035

Yeh Lam, Doris Y. P. Leung, Jennifer So-Kuen Chan

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2003.12.004

zbMATH Keywords

renewal processmaximum likelihood estimategeometric processmoment estimate

Mathematics Subject Classification ID

Non-Markovian processes: estimation (62M09) Reliability, availability, maintenance, inspection in operations research (90B25) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

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Cites Work

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• Analysis of data from a series of events by a geometric process model
• Data. A collection of problems from many fields for the student and research worker
• Geometric processes and replacement problem
• Statistical inference for geometric processes with lognormal distribution.
• Analysis of a parallel system with two different units
• A note on the optimal replacement problem
• Testing Adequacy of the Weibull and Log Linear Rate Models for a Poisson Process
• Goodness of fit for the extreme value distribution
• Nonparametric inference for geometric processes
• The rate of occurrence of failures
• Calculating the Rate of Occurrence of Failures for Continuous-time Markov Chains with Application to a Two-component Parallel System
• Analysis of a two-component series system with a geometric process model
• THE TIME INTERVALS BETWEEN INDUSTRIAL ACCIDENTS

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