Power Law Selection Model for Repairable Systems

Autor:	Enrico A. Colosimo, Gustavo L. Gilardoni, Maristela Dias de Oliveira
Rok vydání:	2013
Předmět:	Statistics and Probability Mathematical optimization Information Criteria Poisson process Sample (statistics) Power law symbols.namesake Repairable systems Frequentist inference Order (exchange) symbols Econometrics Selection (genetic algorithm) Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 42:570-578
ISSN:	1532-415X 0361-0926
Popis:	A repairable system, under minimal repair, is usually modeled according to a Non-Homogeneous Poisson Process (NHPP) assuming a Power Law intensity function. A traditional approach considers iid NHPPs in order to conduct a statistical analysis based on a sample of systems. However, systems might be heterogeneous due to unmeasured variables such as age, suppliers, and so on. In order to verify this assumption a frequentist approach is proposed in this article. Some possible model scenarios considering different systems heterogeneity are compared using likelihood ratio tests and information criteria. Real data sets illustrate the proposed methodology.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::627e4ccfcd44e9a1cc2da441b1e6294e https://doi.org/10.1080/03610926.2011.609954 Zobrazit plný text záznamu