LEADER 03551oam 2200613I 450 001 9910800095203321 005 20230802004254.0 010 $a0-429-15195-0 010 $a1-283-35030-0 010 $a9786613350305 010 $a1-4398-3955-7 024 7 $a10.1201/b11235 035 $a(CKB)2550000000063558 035 $a(EBL)800928 035 $a(OCoLC)763161378 035 $a(SSID)ssj0000564978 035 $a(PQKBManifestationID)11354481 035 $a(PQKBTitleCode)TC0000564978 035 $a(PQKBWorkID)10527809 035 $a(PQKB)10687724 035 $a(MiAaPQ)EBC800928 035 $a(Au-PeEL)EBL800928 035 $a(CaPaEBR)ebr10508902 035 $a(CaONFJC)MIL335030 035 $a(EXLCZ)992550000000063558 100 $a20180331d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBayesian analysis made simple $ean Excel GUI for WinBUGS /$fPhil Woodward 210 1$aBoca Raton, Fla. :$cCRC Press,$d2012. 215 $a1 online resource (364 p.) 225 1 $aChapman & Hall/CRC biostatistics series 300 $aA Chapman & Hall book. 311 $a1-4398-3954-9 320 $aIncludes bibliographical references. 327 $aFront Cover; Contents; Case Studies; Preface; Acknowledgments; Chapter 1: Brief Introduction to Statistics, Bayesian Methods, and WinBUGS; Chapter 2: BugsXLA Overview and Reference Manual; Chapter 3: Normal Linear Models; Chapter 4: Generalized Linear Models; Chapter 5: Normal Linear Mixed Models; Chapter 6: Generalized Linear Mixed Models; Chapter 7: Emax or Four-Parameter Logistic Non-Linear Models; Chapter 8: Bayesian Variable Selection; Chapter 9: Longitudinal and Repeated Measures Models; Chapter 10: Robust Models; Chapter 11: Beyond BugsXLA: Extending the WinBUGS Code 327 $aAppendix A: Distributions Referenced in BugsXLAAppendix E: Troubleshooting; References; Back Cover 330 $aAlthough the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand.Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to create WinBUGS code and ancillary files for every analysis they undertake. Accessible to even those who would not routinely use Excel, this book provides a custom-made Excel GUI, immediately useful to those users who want to be able to quickly apply Bayesian methods without being distracted by computing or mathematical issues.From simple NLMs to complex GLMMs and beyond, Bayesian Analysis Made Simple describes how to use Excel for a vast range of Bayesian models in an intuitive manner accessible to the statistically savvy user. Packed with relevant case studies, this book is for any data analyst wishing to apply Bayesian methods to analyze their data, from professional statisticians to statistically aware scientists--$cProvided by publisher. 410 0$aChapman & Hall/CRC biostatistics series (Unnumbered) 606 $aBayesian statistical decision theory 615 0$aBayesian statistical decision theory. 676 $a519.5/42028553 686 $aMAT029000$2bisacsh 700 $aWoodward$b Phillip.$01587906 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910800095203321 996 $aBayesian analysis made simple$93876683 997 $aUNINA LEADER 04404nam 22006014a 450 001 9910960395903321 005 20251116165719.0 010 $a1-280-53406-0 010 $a0-19-803733-3 010 $a1-4337-0064-6 035 $a(CKB)1000000000245536 035 $a(StDuBDS)AH24085958 035 $a(SSID)ssj0000120067 035 $a(PQKBManifestationID)11146438 035 $a(PQKBTitleCode)TC0000120067 035 $a(PQKBWorkID)10074683 035 $a(PQKB)11554126 035 $a(MiAaPQ)EBC279797 035 $a(Au-PeEL)EBL279797 035 $a(CaPaEBR)ebr10103703 035 $a(CaONFJC)MIL53406 035 $a(OCoLC)935262070 035 $a(EXLCZ)991000000000245536 100 $a20031106d2004 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCharacter strengths and virtues $ea handbook and classification /$fChristopher Peterson & Martin E.P. Seligman 205 $a1st ed. 210 $aWashington, DC $cAmerican Psychological Association ;$aNew York $cOxford University Press$d2004 215 $a1 online resource (xiv, 800 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a0-19-516701-5 320 $aIncludes bibliographical references (p. 645-762) and indexes. 327 $aPART 1: BACKGROUND; 1. Introduction to a "Manual of the Sanities"; 2. Universal Virtues? - Lessons from History; 3. Previous Classifications of Character Strengths; PART 2: STRENGTHS OF CHARACTER; Strengths of Wisdom and Knowledge; 4. Creativity [Originality, Ingenuity]; 5. Curiosity [Interest, Novelty-Seeking, Openness to Experience]; 6. Open-Mindedness [Judgement, Critical Thinking]; 7. Love of Learning; 8. Perspective [Wisdom]; Strengths of Courage; 9. Bravery [Valor]; 10. Persistence [Perseverance, Industriousness]; 11. Integrity [Authenticity, Honesty]; 12. Vitality [Zest, Enthusiasm, Vigor, Energy]; Strengths of Humanity; 13. Love; 14. Kindness [Generosity, Nurturance, Care, Compassion, Altruistic Love, "Niceness"]; 15. Social Intelligence [Emotional Intelligence, Personal Intelligence]; Strengths of Justice; 16. Citizenship [Social Responsibility, Loyalty, Teamwork]; 17. Fairness; 18. Leadership; Strengths of Temperance; 19. Forgiveness and Mercy; 20. Modesty and Humility; 21. Prudence; 22. Self-Regulation [Self-Control]; Strengths of Transcendence; 23. Appreciation of Beauty and Excellence [Awe, Wonder, Elevation]; 24. Gratitude; 25. Hope [Optimism, Future-Mindedness, Future Orientation]; 26. Humor [Playfulness]; 27. Spirituality [Religiousness, Faith, Purpose]; PART 3: CONCLUSIONS; 28. Assessment and Applications 330 $aThis is the first progress report from the Values in Action Classification Project, which has undertaken a systematic measurement of universal human strengths and weaknesses. This book defines the issues of assessment and measurement and describes in detail the current state of classification. 330 $bThis groundbreaking handbook of human strengths and virtues is the first progress report from a prestigious group of researchers in the Values in Action Classification Project, which has undertaken a systematic classification and measurement of universal strengths and virtues. This landmark work makes possible for the first time a science of human strengths that goes beyond armchair philosophy and political science. The handbook begins with the background of the VIA classification scheme and defines terms before describing in thorough detail the current state of knowledge with respect to each of the 24 character strengths in the classification. Addressing issues of assessment and measurement, practical applications, and directions for future research, this work will demand the attention of any psychologist who is interested in positive psychology and its relevance to clinical, personality, and social psychology. 606 $aCharacter$vHandbooks, manuals, etc 606 $aVirtues$vHandbooks, manuals, etc 615 0$aCharacter 615 0$aVirtues 676 $a155.2/32 700 $aPeterson$b Christopher$f1950 February 18-2012.$0729080 701 $aSeligman$b Martin E. P$0143124 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910960395903321 996 $aCharacter strengths and virtues$91762735 997 $aUNINA