LEADER 03912nam 22007215 450 001 9911007356703321 005 20260209131609.0 010 $a981-9630-49-5 024 7 $a10.1007/978-981-96-3049-3 035 $a(CKB)39124443300041 035 $a(DE-He213)978-981-96-3049-3 035 $a(MiAaPQ)EBC32145187 035 $a(Au-PeEL)EBL32145187 035 $a(OCoLC)1521989917 035 $a(EXLCZ)9939124443300041 100 $a20250531d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProbability Models in Reliability Analysis /$fby S. P. Mukherjee, Asok K. Nanda 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XVIII, 345 p. 29 illus., 26 illus. in color.) 225 1 $aUniversity Texts in the Mathematical Sciences,$x2731-9326 311 08$a981-9630-48-7 327 $a1. Introduction -- 2. Properties of Life Distributions -- 3. Univariate Continuous Distributions -- 4. Some Discrete Distributions -- 5. Distributions Derived from the Parent Distribution -- 6. Finite Range Life Distributions -- 7. Ordering among Life Distributions -- 8. Classes of Life Distributions -- 9. Characterizations of Life Distributions -- 10. Distributions of Special Interest -- 11. Using an Appropriate Probability Model. 330 $aThis book delves into the fundamental theoretical aspects of reliability analysis, focusing on various probabilistic models. These models are essential for representing random variations in underlying variables such as time-to-failure, the number of failures between consecutive repairs and similar metrics. The calculation, estimation and prediction of reliability all hinge on using appropriate probability models. The book introduces various models beneficial for researchers in the field of reliability. It also provides a comprehensive overview of the available models, highlighting their distinctive features and practical applications in a narrative format. The content of the book is designed to appeal to a broad readership. Students and researchers in the field of reliability analysis will find a comprehensive yet easily understandable summary of models applicable to their data sets of interest. It should be noted, however, As stated clearly in the preface, this book does not illustrate applications of the models discussed in terms of real-life data. 410 0$aUniversity Texts in the Mathematical Sciences,$x2731-9326 606 $aProbabilities 606 $aStochastic models 606 $aOperations research 606 $aManagement science 606 $aProbability Theory 606 $aStochastic Modelling in Statistics 606 $aOperations Research, Management Science 606 $aProbabilitats$2thub 606 $aProcessos estocāstics$2thub 606 $aInvestigaciķ operativa$2thub 606 $aEstadística matemātica$2thub 608 $aLlibres electrōnics$2thub 615 0$aProbabilities. 615 0$aStochastic models. 615 0$aOperations research. 615 0$aManagement science. 615 14$aProbability Theory. 615 24$aStochastic Modelling in Statistics. 615 24$aOperations Research, Management Science. 615 7$aProbabilitats 615 7$aProcessos estocāstics 615 7$aInvestigaciķ operativa 615 7$aEstadística matemātica 676 $a519.2 700 $aMukherjee$b S. P$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767996 702 $aNanda$b Asok K$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911007356703321 996 $aProbability Models in Reliability Analysis$94390470 997 $aUNINA