LEADER 00839nam0-2200301---450- 001 990008209910403321 005 20051024114246.0 035 $a000820991 035 $aFED01000820991 035 $a(Aleph)000820991FED01 035 $a000820991 100 $a20051020d1954----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $ay---n---001yy 200 1 $aDeutsches Strafrecht$eallgemeiner teil$eein Lehrbuch$fReinhart Maurach 210 $aKarlsruhe$cC. F. Müller$d1954 215 $aVII, 795 p.$d24 cm 676 $a345.43$v12 rid.$zita 700 1$aMaurach,$bReinhart$0230810 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008209910403321 952 $aXII B 284$b46736$fFGBC 952 $aXII B 346$b52835$fFGBC 959 $aFGBC 996 $aDeutsches Strafrecht$9739494 997 $aUNINA LEADER 03166nam 2200565 450 001 9910465133103321 005 20200520144314.0 010 $a0-12-405916-3 010 $a0-12-405888-4 035 $a(CKB)2560000000301459 035 $a(MH)014236663-3 035 $a(SSID)ssj0001380759 035 $a(PQKBManifestationID)12616689 035 $a(PQKBTitleCode)TC0001380759 035 $a(PQKBWorkID)11371259 035 $a(PQKB)10339471 035 $a(MiAaPQ)EBC5754481 035 $a(CaSebORM)9780124058880 035 $a(Au-PeEL)EBL5754481 035 $a(OCoLC)1102470196 035 $a(EXLCZ)992560000000301459 100 $a20190606d2015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aDoing Bayesian data analysis $ea tutorial with R, JAGS, and Stan /$fJohn K. Kruschke 205 $aSecond edition. 210 1$aAmsterdam :$cAcademic Press is an imprint of Elsevier,$d[2015] 210 4$dİ2015 215 $a1 online resource (xii, 759 pages )$cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 320 $aIncludes bibliographical references (pages 737-745). 327 $aWhat's in this book (Read this first!) -- Part I The basics: models, probability, Bayes' rule and r: Introduction: credibility, models, and parameters; The R programming language; What is this stuff called probability?; Bayes' rule -- Part II All the fundamentals applied to inferring a binomila probability: Inferring a binomial probability via exact mathematical analysis; Markov chain Monte Carlo; JAGS; Hierarchical models; Model comparison and hierarchical modeling; Null hypothesis significance testing; Bayesian approaches to testing a point ("Null") hypothesis; Goals, power, and sample size; Stan -- Part III The generalized linear model: Overview of the generalized linear model; Metric-predicted variable on one or two groups; Metric predicted variable with one metric predictor; Metric predicted variable with multiple metric predictors; Metric predicted variable with one nominal predictor; Metric predicted variable with multiple nominal predictors; Dichotomous predicted variable; Nominal predicted variable; Ordinal predicted variable; Count predicted variable; Tools in the trunk -- Bibliography -- Index. 330 $aProvides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. 606 $aBayesian statistical decision theory 606 $aR (Computer program language) 608 $aElectronic books. 615 0$aBayesian statistical decision theory. 615 0$aR (Computer program language) 676 $a519.5/42 700 $aKruschke$b John K.$0477880 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465133103321 996 $aDoing bayesian data analysis$9241265 997 $aUNINA LEADER 02629nam 2200613 450 001 9910807856403321 005 20170920003539.0 010 $a1-4422-6547-7 035 $a(CKB)3710000000742382 035 $a(EBL)4525032 035 $a(OCoLC)945170038 035 $a(PQKBManifestationID)16374522 035 $a(PQKBWorkID)14939350 035 $a(PQKB)24353974 035 $a(MiAaPQ)EBC4525032 035 $a(DLC) 2016013469 035 $a(EXLCZ)993710000000742382 100 $a20160317h20162016 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEldercare 101 $ea practical guide to later life planning, care, and wellbeing /$fMary Jo Saavedra ; in collaboration with Susan Cain McCarty [and four others] ; with Ruth Matinko-Wald, editor 210 1$aLanham :$cRowman & Littlefield,$d[2016] 210 4$dİ2016 215 $a1 online resource (311 p.) 300 $aDescription based upon print version of record. 311 $a0-8108-9577-3 311 $a1-4422-6546-9 320 $aIncludes bibliographical references and index. 327 $aIntro; Contents; Preface; Acknowledgments; Introduction; Chapter 1. LEGAL PILLAR OF AGING WELLBEING; Chapter 2. FINANCIAL PILLAR OF AGING WELLBEING; Chapter 3. LIVING ENVIRONMENT PILLAR OF AGING WELLBEING; Chapter 4. SOCIAL PILLAR OF AGING WELLBEING; Chapter 5. MEDICAL PILLAR OF AGING WELLBEING; Chapter 6. SPIRITUAL PILLAR OF AGING WELLBEING; Glossary; Notes; Bibliography; Index; Meet the Authors 330 $aEldercare 101: A Practical Guide to Later Life Planning, Care, and Wellbeing is the key to making order and peace from chaos and crisis for our elders and their caregivers. Whether used for proactive planning or fast answers, this comprehensive resource offers the steppingstones needed to help a loved one live well through the later years. 606 $aOlder people$xCare 606 $aCaregivers 606 $aOlder people$xHealth and hygiene 606 $aOlder people$xFinance, Personal 606 $aOlder people$xReligious life 615 0$aOlder people$xCare. 615 0$aCaregivers. 615 0$aOlder people$xHealth and hygiene. 615 0$aOlder people$xFinance, Personal. 615 0$aOlder people$xReligious life. 676 $a362.6/3 700 $aSaavedra$b Mary Jo$01690589 702 $aMcCarty$b Susan Cain 702 $aMatinko-Wald$b Ruth 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910807856403321 996 $aEldercare 101$94066360 997 $aUNINA