단행본Wiley series in probability and statistics
Bayesian statistical modelling
- 서명/저자사항
- Bayesian statistical modelling
- 판사항
- 2nd ed
- 개인저자
- Congdon, P
- 발행사항
- Chichester, England ; Hoboken, NJ : John Wiley & Sons, c2006.
- 형태사항
- xi, 573 p. : ill. ; 25 cm.
- ISBN
- 0470018755 (cloth : alk. paper) 9780470018750 (cloth : alk. paper)
- 주기사항
- Includes bibliographical references and index Introduction : the Bayesian method, its benefits and implementation -- Bayesian model choice, comparison and checking -- The major densities and their application -- Normal linear regression, general linear models and log-linear models -- Hierarchical priors for pooling strength and overdispersed regression modelling -- Discrete mixture priors -- Multinomial and ordinal regression models -- Time series models -- Modelling spatial dependencies -- Nonlinear and nonparametric regression -- Multilevel and panel data models -- Latent variable and structural equation models for multivariate data -- Survival and event history analysis -- Missing data models -- Measurement error, seemingly unrelated regressions, and simultaneous eqations
소장정보
| 위치 | 등록번호 | 청구기호 / 출력 | 상태 | 반납예정일 |
|---|---|---|---|---|
이용 가능 (1) | ||||
| 자료실 | WM017648 | 대출가능 | - | |
이용 가능 (1)
- 등록번호
- WM017648
- 상태/반납예정일
- 대출가능
- -
- 위치/청구기호(출력)
- 자료실
목차
Introduction : the Bayesian method, its benefits and implementation -- Bayesian model choice, comparison and checking -- The major densities and their application -- Normal linear regression, general linear models and log-linear models -- Hierarchical priors for pooling strength and overdispersed regression modelling -- Discrete mixture priors -- Multinomial and ordinal regression models -- Time series models -- Modelling spatial dependencies -- Nonlinear and nonparametric regression -- Multilevel and panel data models -- Latent variable and structural equation models for multivariate data -- Survival and event history analysis -- Missing data models -- Measurement error, seemingly unrelated regressions, and simultaneous eqations.