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| 현재위치 : 홈 > 도서목록 > 전체도서목록 > 통계 |
| Structural Equation Modelling: A Bayesian Approach |
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| 지은이 |
: Sik-Yum Lee |
| 발행일 |
: 2007 년 |
| ISBN |
: 9780470024232 |
| 정행가 |
: 49,000 원 |
| 페이지 |
: 432 페이지 |
| 판행수 |
: 1판 |
| 출판사 |
: Wiley |
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| 저자 및 역자 소개 |
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| 차례 |
Preface
1. Introduction
2. Some Basic Structural Equation Models
3. Covariance Structure Analysis
4. Bayesian Estimation of Structural Equation Models
5. Model Comparison and Model Checking
6. Structural Equation Models with Continuous and Ordered Categorical Variables
7. Structural Equation Models with Dichotomous Variables
8. Nonlinear Structural Equation Models
9. Two-level Nonlinear Structural Equation Models
10. Multisample Analysis of Structural Equation Models
11. Finite Mixtures in Structural Equation Models
12. Structural Equation Models with Missing Data
13. Structural Equation Models with Exponential Family of Distributions
14. Conclusion
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Zumdahl,줌달,맥머리
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