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[null,"1.","Record Nr.",null,"UNINA9910583470003321"]
[null,null,"Autore",null,"Nair N. Unnikrishnan"]
[null,null,"Titolo",null,"Reliability modelling and analysis in discrete time / / N. Unnikrishnan Nair, P. G. Sankaran, N. Balakrishnan"]
[null,null,"Pubbl/distr/stampa",null,"London : , : Academic Press, , [2018]"]
[{"$nulls":4},"©2018"]
[null,null,"ISBN",null,"0-12-802006-7"]
[{"$nulls":4},"0-12-801913-1"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (510 pages)"]
[null,null,"Disciplina",null,"620.00452"]
[null,null,"Soggetti",null,"Reliability (Engineering) - Mathematical models"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,null,"Sommario/riassunto","Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper. Includes a valuable introduction to Reliability Theory before covering advanced topics of research and real world applications Features an emphasis on the mathematical theory of reliability modeling Provides many illustrative examples to foster reader understanding"]