{"product_id":"9781447126348","title":"Springer Series in Reliability Engineering","description":"\u003ch1\u003eSpringer Series in Reliability Engineering\u003c\/h1\u003e \u003ch2\u003eGámiz, M. Luz; Kulasekera, K. B.; Limnios, Nikolaos; Lindqvist, Bo Henry\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eNonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences, nonparametric analyses in reliability currently form an interesting area of study that has not yet been fully explored.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eApplied Nonparametric Statistics in Reliability\u003c\/i\u003e is focused on the use of modern statistical methods for the estimation of dependability measures of reliability systems that operate under different conditions. The scope of the book includes:\n\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003esmooth estimation of the reliability function and hazard rate of non-repairable systems;\u003c\/li\u003e\n\u003cli\u003estudy of stochastic processes for modelling the time evolution of systems when imperfect repairs are performed;\u003c\/li\u003e\n\u003cli\u003enonparametric analysis of discrete and continuous time semi-Markov processes;\u003c\/li\u003e\n\u003cli\u003eisotonic regression analysis of the structure function of a reliability system, and\u003c\/li\u003e\n\u003cli\u003elifetime regression analysis.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eBesides the explanation of the mathematical background, several numerical computations or simulations are presented as illustrative examples. The corresponding computer-based methods have been implemented using R and MATLAB\u003csup\u003e®\u003c\/sup\u003e. A concrete modelling scheme is chosen for each practical situation and, in consequence, a nonparametric inference procedure is conducted.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eApplied Nonparametric Statistics in Reliability\u003c\/i\u003e will serve the practical needs of scientists (statisticians and engineers) working on applied reliability subjects.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2014-10-11\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781447126348\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-0-85729-118-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 230\u003c\/p\u003e ","brand":"Springer London","offers":[{"title":"Default Title","offer_id":49471311741068,"sku":"9781447126348","price":98.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781447126348.jpg?v=1777983655","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781447126348","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}