LEADER 03444nam 22005415 450 001 9910350247703321 005 20200704212647.0 010 $a981-13-6241-6 024 7 $a10.1007/978-981-13-6241-5 035 $a(CKB)4100000008525817 035 $a(DE-He213)978-981-13-6241-5 035 $a(MiAaPQ)EBC5776068 035 $a(PPN)236520997 035 $a(EXLCZ)994100000008525817 100 $a20190513d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis of Doubly Truncated Data $eAn Introduction /$fby Achim Dörre, Takeshi Emura 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (XVI, 109 p. 38 illus., 10 illus. in color.) 225 1 $aJSS Research Series in Statistics,$x2364-0057 311 $a981-13-6240-8 327 $aChapter 1: Introduction to double-truncation -- Chapter 2: Parametric inference under special exponential family -- Chapter 3: Parametric inference under location-scale family -- Chapter 4: Bayes inference -- Chapter 5: Nonparametric inference -- Chapter 6: Linear regression -- Appendix A: Data (if German company data are available) -- Appendix B: R codes for inference under exponential family -- Appendix C: R codes for inference under location-scale family -- Appendix D: R codes for Bayes inference -- Appendix E: R codes for linear regression. 330 $aThis book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields. 410 0$aJSS Research Series in Statistics,$x2364-0057 606 $aStatistics  606 $aBiostatistics 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aApplied Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/S17000 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 615 0$aStatistics . 615 0$aBiostatistics. 615 14$aStatistical Theory and Methods. 615 24$aApplied Statistics. 615 24$aBiostatistics. 615 24$aStatistics and Computing/Statistics Programs. 676 $a519.5 700 $aDörre$b Achim$4aut$4http://id.loc.gov/vocabulary/relators/aut$0781839 702 $aEmura$b Takeshi$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910350247703321 996 $aAnalysis of Doubly Truncated Data$92507121 997 $aUNINA