LEADER 01691nam a2200325 a 4500 001 991003651019707536 008 070719s20052005it aaa b 101 0 ita 035 $ab13729937-39ule_inst 040 $aDip.to Beni Culturali$bita 111 2 $aConvegno nazionale di archeozoologia$n(3. :$d2000 :$cSiracusa, Italia)$0628547 245 10$aAtti del 3. Convegno Nazionale di Archeozoologia :$bSiracusa $n3-5 novembre 2000 /$ca cura di Ivana Fiore, Giancarla Malerba, Salvatore Chilardi 246 3 $aAtti del terzo Convegno Nazionale di Archeozoologia 260 $aRoma :$bIstituto poligrafico e Zecca dello Stato,$c2005 300 $a517 p. :$bill. ;$c29 cm. 490 0 $aStudi di paletnologia ;$v2 490 0 $aCollana del Bullettino di paletnologia italiana,$x0392-5250 500 $aIn testa al front.: Ministero per i Beni e le Attivitā Culturali, Dipartimento per i Beni Culturali e Paesaggistici, Direzione Generale per i Beni Archeologici; Soprintendenza al Museo Nazionale Preistorico Etnografico "L. Pigorini"; Associazione Italiana di Archeozoologia 504 $aContiene bibliografia 546 $aSommario in inglese 650 4$aAnimali fossili$xArcheologia$zItalia$vCongresso 651 4$aItalia$xAntichitā$xCongresso 700 1 $aFiore, Ivana 700 1 $aMalerba, Giancarla 700 1 $aChilardi, Salvatore 907 $a.b13729937$b02-04-14$c26-05-08 912 $a991003651019707536 945 $aLE001 AR XXI 52/3$g1$i2001000167586$lle001$nCambio$oe$pE80.00$q-$rl$sm $t0$u0$v0$w0$x0$y.i14762572$z26-05-08 996 $aAtti del 3. Convegno Nazionale di Archeozoologia$91230303 997 $aUNISALENTO 998 $ale001$b26-05-08$cm$da $e-$fita$git $h0$i0 LEADER 03263nam 22005895 450 001 9910350247703321 005 20250402112818.0 010 $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 :$cSpringer Nature Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (XVI, 109 p. 38 illus., 10 illus. in color.) 225 1 $aJSS Research Series in Statistics,$x2364-0065 311 08$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,$x2364-0065 606 $aStatistics 606 $aStatistics 606 $aBiometry 606 $aMathematical statistics$xData processing 606 $aStatistical Theory and Methods 606 $aApplied Statistics 606 $aBiostatistics 606 $aStatistics and Computing 615 0$aStatistics. 615 0$aStatistics. 615 0$aBiometry. 615 0$aMathematical statistics$xData processing. 615 14$aStatistical Theory and Methods. 615 24$aApplied Statistics. 615 24$aBiostatistics. 615 24$aStatistics and Computing. 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