LEADER 04327nam 22005055 450 001 9910254306703321 005 20200703045853.0 010 $a981-10-5194-1 024 7 $a10.1007/978-981-10-5194-4 035 $a(CKB)3710000001631076 035 $a(DE-He213)978-981-10-5194-4 035 $a(MiAaPQ)EBC5015213 035 $a(PPN)203848640 035 $a(EXLCZ)993710000001631076 100 $a20170831d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Modeling for Degradation Data /$fedited by Ding-Geng (Din) Chen, Yuhlong Lio, Hon Keung Tony Ng, Tzong-Ru Tsai 205 $a1st ed. 2017. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (XVIII, 376 p. 109 illus., 67 illus. in color.) 225 1 $aICSA Book Series in Statistics,$x2199-0980 311 $a981-10-5193-3 320 $aIncludes bibliographical references and index. 327 $aI. Review and Theoretical Framework -- Chapter 1: Stochastic Accelerated Degradation Models Based on a Generalized Cumu-lative Damage Approach -- Chapter 2: Hierarchical Bayesian Change-Point Analysis for Nonlinear Degradation Data -- Chapter 3: Degradation Modeling, Analysis, and Applications on Residual Life Predic-tion -- Chapter 4: On Some Shock Models with Poisson and Generalized Poisson Shock Processes -- Chapter 5: Degradation Based Reliability Modeling and Assessment of Complex Systems in Dynamic Environments -- Chapter 6: A Survey of the Modeling and Applications on Non-Destructive and De-structive Degradation Tests -- II. Modeling and Experimental Designs -- Chapter 7: Degradation Test Plan for a Nonlinear Random-Coefficients Model -- Chapter 8: Optimal Designs for LED Degradation Modeling -- Chapter 9: Gamma Degradation Models: Inferences and Optimal Designs -- Chapter 10: Model Misspecification analysis of Inverse Gaussian and Gamma Degrada-tion Processes -- III. Applications -- Chapter 11: Practical Application of Fréchet Shock-Degradation Models for System Failures -- Chapter 12: Statistical Methods for Thermal Index Estimation Based on Accelerated Destructive Degradation Test Data -- Chapter 13: Inference on Remaining Useful Life Under Gamma Degradation Models with Random effects.-- Chapter 14: ADDT: An R Package for Analysis of Accelerated Destructive Degradation Test Data -- Chapter 15: Modeling and Inference of CD4 Data. . 330 $aThis book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products? reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering. 410 0$aICSA Book Series in Statistics,$x2199-0980 606 $aStatistics  606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 615 0$aStatistics . 615 14$aStatistical Theory and Methods. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 676 $a519.5 702 $aChen$b Ding-Geng (Din)$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLio$b Yuhlong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNg$b Hon Keung Tony$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTsai$b Tzong-Ru$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910254306703321 996 $aStatistical Modeling for Degradation Data$91562265 997 $aUNINA