This book provides both the assessment of repairable system reliability using the proportional intensity models and a thorough evaluation on the model performance for a set of special engineering applications, including right-censoring severity, life cycles with substantial overhaul (dormancy) intervals, and multiple failure types (major and minor). Compared to the extensive literature on application of the Cox-based PI regression models in the biostatistics field, there has been a small but growing body of literature reported for reliability engineering applications. The robustness study simulates recurrent failure data, and provides a thorough examination across a relevant range of sample size, shape parameter, and censoring severity values. Cox-based proportional intensity models include PWP-GT, PWP-TT, AG, and WLW models. The results are beneficial to practitioners in anticipating the more favorable applications domains and selecting appropriate PI models.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book provides both the assessment of repairable system reliability using the proportional intensity models and a thorough evaluation on the model performance for a set of special engineering applications, including right-censoring severity, life cycles with substantial overhaul (dormancy) intervals, and multiple failure types (major and minor). Compared to the extensive literature on application of the Cox-based PI regression models in the biostatistics field, there has been a small but growing body of literature reported for reliability engineering applications. The robustness study simulates recurrent failure data, and provides a thorough examination across a relevant range of sample size, shape parameter, and censoring severity values. Cox-based proportional intensity models include PWP-GT, PWP-TT, AG, and WLW models. The results are beneficial to practitioners in anticipating the more favorable applications domains and selecting appropriate PI models.
Shwu-Tzy (Suzy) Jiang received a PhD at the University of Oklahoma(OU). Dr. Jiang is currently working for a major oil company, and has worked as a reliability engineer in the energy and electronics industries. She was appointed adjunct assistant professor at OU. Dr. Tom Landers is AT&T Chair and Dean at OU, and has published over 90 papers.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. Assessment of Semi-Parametric Proportional Intensity Models | Applied to Recurrent Failure Data with Multiple Failure Types for Repairable-System | Shwu-Tzy Jiang | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783639083835 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. N° de réf. du vendeur 101703579
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides both the assessment of repairable system reliability using the proportional intensity models and a thorough evaluation on the model performance for a set of special engineering applications, including right-censoring severity, life cycles with substantial overhaul (dormancy) intervals, and multiple failure types (major and minor). Compared to the extensive literature on application of the Cox-based PI regression models in the biostatistics field, there has been a small but growing body of literature reported for reliability engineering applications. The robustness study simulates recurrent failure data, and provides a thorough examination across a relevant range of sample size, shape parameter, and censoring severity values. Cox-based proportional intensity models include PWP-GT, PWP-TT, AG, and WLW models. The results are beneficial to practitioners in anticipating the more favorable applications domains and selecting appropriate PI models.; This book provides both the assessment of repairablesystem reliability using the proportional intensitymodels and a thorough evaluation on the modelperformance for a set of special engineeringapplications, including right-censoring severity,life cycles with substantial overhaul (dormancy)intervals, and multiple failure types (major andminor). Compared to the extensive literature onapplication of the Cox-based PI regression models inthe biostatistics field, there has been a small butgrowing body of literature reported for reliabilityengineering applications. The robustness studysimulates recurrent failure data, and provides athorough examination across a relevant range ofsample size, shape parameter, and censoring severityvalues. Cox-based proportional intensity modelsinclude PWP-GT, PWP-TT, AG, and WLW models. Theresults are beneficial to practitioners inanticipating the more favorable applications domainsand selecting appropriate PI models. N° de réf. du vendeur 9783639083835
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