소장자료
LDR | 01799cam a2200000 a | ||
001 | 0100455053▲ | ||
005 | 20200408114806▲ | ||
007 | ta ▲ | ||
008 | 191121s2020 flu b 001 0 eng c▲ | ||
020 | ▼a9781498785754 (hbk.)▲ | ||
020 | ▼z9780429113352 (ebk.)▲ | ||
035 | ▼a(KERIS)REF000019185081▲ | ||
040 | ▼aDLC▼beng▼cDLC▼d221016▲ | ||
082 | 0 | 4 | ▼a519.5/42▼223▲ |
090 | ▼a519.542▼bC749bA2▲ | ||
100 | 1 | ▼aCongdon, P.▲ | |
245 | 1 | 0 | ▼aBayesian hierarchical models :▼bwith applications using R /▼cPeter D. Congdon.▲ |
250 | ▼a2nd ed.▲ | ||
260 | ▼aBoca Raton :▼bCRC Press,▼c[2020].▲ | ||
300 | ▼apages cm▲ | ||
500 | ▼aRevised edition of: Applied Bayesian hierarchical methods. c2010.▲ | ||
504 | ▼aIncludes bibliographical references and index.▲ | ||
520 | ▼a"The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples"--Provided by publisher.▲ | ||
650 | 0 | ▼aMultilevel models (Statistics)▲ | |
650 | 0 | ▼aBayesian statistical decision theory.▲ |
Bayesian hierarchical models :with applications using R
자료유형
국외단행본
서명/책임사항
Bayesian hierarchical models : with applications using R / Peter D. Congdon.
개인저자
판사항
2nd ed.
발행사항
Boca Raton : CRC Press , [2020].
형태사항
pages cm
일반주기
Revised edition of: Applied Bayesian hierarchical methods. c2010.
서지주기
Includes bibliographical references and index.
요약주기
"The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples"--Provided by publisher.
ISBN
9781498785754 (hbk.)
청구기호
519.542 C749bA2
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