| 000 | 00970camuu2200277 a 4500 | |
| 001 | 000045646818 | |
| 005 | 20110511115101 | |
| 008 | 110506s2011 maua b 001 0 eng d | |
| 010 | ▼a 2010030206 | |
| 020 | ▼a 9780123814852 (hardcover : alk. paper) | |
| 020 | ▼a 0123814855 (hardcover : alk. paper) | |
| 035 | ▼a (KERIS)REF000016289430 | |
| 040 | ▼a DLC ▼c DLC ▼d YDX ▼d YDXCP ▼d CDX ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a QA279.5 ▼b .K79 2011 |
| 082 | 0 0 | ▼a 519.5/42 ▼2 22 |
| 084 | ▼a 519.542 ▼2 DDCK | |
| 090 | ▼a 519.542 ▼b K94d | |
| 100 | 1 | ▼a Kruschke, John K. |
| 245 | 1 0 | ▼a Doing bayesian data analysis : ▼b a tutorial with R and BUGS / ▼c John K. Kruschke. |
| 260 | ▼a Burlington, MA : ▼b Academic Press, ▼c c2011. | |
| 300 | ▼a xvii, 653 p. : ▼b ill. ; ▼c 25 cm. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Bayesian statistical decision theory. |
| 650 | 0 | ▼a R (Computer program language) |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고7층/ | 청구기호 519.542 K94d | 등록번호 111624958 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. 2 | 소장처 세종학술정보원/과학기술실(5층)/ | 청구기호 519.542 K94d | 등록번호 151301996 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고7층/ | 청구기호 519.542 K94d | 등록번호 111624958 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 세종학술정보원/과학기술실(5층)/ | 청구기호 519.542 K94d | 등록번호 151301996 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
This Book's Organization: Read me First!; The Basics: Parameters, Probability, Bayes' Rule and R; What is this stuff called probability?; Bayes' Rule; Part II All the Fundamental Concepts and Techniques in a Simple Scenario; Inferring a Binomial Proportion via Exact mathematical Analysis; Inferring a Binomial Proportion via Grid Approximation; Inferring a Binomial Proportion via Monte Carlo Methods; Inferences Regarding Two Binomial Proportions; Bernoulli Likelihood with Hierarchical Prior; Hierarchical modeling and model comparison; Null Hypothesis Significance Testing; Bayesian Approaches to Testing a Point ("Null") Hypothesis; Goals, Power, and Sample Size; Part III The Generalized Linear Model; Overview of the Generalized Linear Model; Metric Predicted Variable on a Single Group; 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; Original Predicted Variable, Contingency Table Analysis; Part IV Tools in the Trunk; Reparameterization, a.k.a. Change of Variables; References; Index
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