LEADER 05916nam 22006975 450 001 9910299977003321 005 20220404185855.0 010 $a0-8176-4807-0 024 7 $a10.1007/978-0-8176-4807-7 035 $a(CKB)3710000000212204 035 $a(SSID)ssj0001295926 035 $a(PQKBManifestationID)11711507 035 $a(PQKBTitleCode)TC0001295926 035 $a(PQKBWorkID)11348365 035 $a(PQKB)11496902 035 $a(MiAaPQ)EBC1803070 035 $a(DE-He213)978-0-8176-4807-7 035 $a(PPN)179927167 035 $a(EXLCZ)993710000000212204 100 $a20140724d2014 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe art of progressive censoring$b[electronic resource] $eapplications to reliability and quality /$fby N. Balakrishnan, Erhard Cramer 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Birkhäuser,$d2014. 215 $a1 online resource (652 pages) $cillustrations, charts, graphs, tables 225 1 $aStatistics for Industry and Technology,$x2364-6241 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-8176-4806-2 320 $aIncludes bibliographical references and index. 327 $aPart I: Distribution Theory and Models -- Progressive censoring: Data and models -- Progressive Type-II censoring: Distribution theory -- Further distributional results on progressive Type-II censoring -- Progressive Type-I censoring: Basic properties -- Progressive hybrid censoring: Distributions and properties -- Adaptive progressive Type-II censoring and related models -- Moments of progressively Type-II censored order statistics -- Simulation of progressively censored order statistics -- Information Measures -- Progressive Type-II censoring under non-standard conditions -- Part II: Inference -- Linear estimation in progressive Type-II censoring -- Maximum likelihood estimation in progressive Type-II censoring -- Point estimation in progressive Type-I censoring -- Progressive hybrid and adaptive censoring and related inference -- Bayesian inference for progressively Type-II censored data -- Point prediction from progressively Type-II censored samples -- Statistical intervals for progressively Type-II censored data -- Progressive Type-I interval censored data -- Goodness-of-fit-tests in progressive Type-II censoring -- Counting and quantile processes and progressive censoring -- Nonparametric inferential issues in progressive Type-II censoring -- Part III: Applications in Survival Analysis and Reliability -- Acceptance sampling plans -- Accelerated life-testing -- Stress-strength models with progressively censored data -- Multi-sample models -- Optimal experimental designs -- Part IV: Appendices -- Appendix A: Distributions -- Appendix B: Additional demonstrative datasets -- Notation -- References -- Author index -- Subject index. 330 $aThis monograph offers a thorough and updated guide to the theory and methods of progressive censoring, an area that has experienced tremendous growth in recent years. Progressive censoring, originally proposed in the 1950s, is an efficient method of handling samples from industrial experiments involving lifetimes of units that have either failed or censored in a progressive fashion during the life test, with many practical applications to reliability and quality. Key topics and features: Data sets from the literature as well as newly simulated data sets are used to illustrate concepts throughout the text Emphasis on real-life applications to life testing, reliability, and quality control Discussion of parametric and nonparametric inference Coverage of experimental design with optimal progressive censoring The Art of Progressive Censoring is a valuable reference for graduate students, researchers, and practitioners in applied statistics, quality control, life testing, and reliability. With its accessible style and concrete examples, the work may also be used as a textbook in advanced undergraduate or beginning graduate courses on censoring or progressive censoring, as well as a supplementary textbook for a course on ordered data. 410 0$aStatistics for Industry and Technology,$x2364-6241 606 $aStatistics  606 $aProbabilities 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aApplications of Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M13003 615 0$aStatistics . 615 0$aProbabilities. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 14$aStatistical Theory and Methods. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aStatistics for Life Sciences, Medicine, Health Sciences. 615 24$aProbability Theory and Stochastic Processes. 615 24$aApplications of Mathematics. 676 $a519.5/46 700 $aBalakrishnan$b N$4aut$4http://id.loc.gov/vocabulary/relators/aut$0103508 702 $aCramer$b Erhard$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299977003321 996 $aThe Art of Progressive Censoring$92544385 997 $aUNINA