《結構方程模型的選擇方法研究》是2011年西南交通大學出版社出版的圖書，作者是李雲仙。
基本介紹
- 書名：結構方程模型的選擇方法研究
- 作者：李雲仙
- ISBN：9787564314873
- 定價：20.00元
- 出版社：西南交通大學出版社
- 出版時間：2011
內容簡介,目錄,
內容簡介
《結構方程模型的選擇方法研究:一種基於貝葉斯準則的模型選擇方法》概括了本學科的近期發展，並有如下特點：示範如何使用強大的統計計算工具得到貝葉斯結果；討論用於模型比較的貝葉斯因子和偏差信息準則；涵蓋多種複雜的模型；通過模擬研究以及來自工商管理學、教育學、心理學、公共衛生和社會學的實際數據說明所提出的方法。
目錄
Chapter 1 Introduction
1.1 Overview
1.2 Lv Measure for Model Selection
1.3 Outline of the Book
Chapter 2 Lv Measure for Nonlinear Structural Equation Models
2.1 Introduction
2.2 Brief Review of the Lv Measure
2.3 Model Description
2.4 Lv Measure for Nonlinear Structural Equation Models
2.5 A Simulation Study
2.6 A Real Example
2.7 Discussion
Chapter 3 Lv Measure for Nonlinear Structural Equation Models with Mixed Continuous and Categorical Data
3.1 Introduction
3.2 Model Description
3.3 Lv Measure for Nonlinear SEMs with Mixed Continuous and Ordered Categorical Data
3.4 A Simulation Study
3.5 A Real Example
3.6 Discussion
Chapter 4 Lv Measure for Model Selection of Two—Level Structural Equation Models
4.1 Introduction
4.2 Model Description
4.3 Lv Measure for Two—Level Structural Equation Models
4.4 A Simulation Study
4.5 A Real Example
4.6 Discussion
Chapter 5 Lv Measure for Finite Mixture Structural Equation Models
5.1 Introduction
5.2 Model Description
5.3 Lv Measure for Finite Mixture SEMs
5.4 A Simulation Study
5.5 A Real Example
5.6 Discussion
Chapter 6 Conclusions and Further Developments
6.1 Conclusions
6.2 Discussion and Further Developments
Appendix A Variable Description in Real Examples
Appendix B WinBUGS and R2winBUGS
Appendix C WinBUGS and R2winBUGS Program in Chapter 3
References
Acknowledgement
1.1 Overview
1.2 Lv Measure for Model Selection
1.3 Outline of the Book
Chapter 2 Lv Measure for Nonlinear Structural Equation Models
2.1 Introduction
2.2 Brief Review of the Lv Measure
2.3 Model Description
2.4 Lv Measure for Nonlinear Structural Equation Models
2.5 A Simulation Study
2.6 A Real Example
2.7 Discussion
Chapter 3 Lv Measure for Nonlinear Structural Equation Models with Mixed Continuous and Categorical Data
3.1 Introduction
3.2 Model Description
3.3 Lv Measure for Nonlinear SEMs with Mixed Continuous and Ordered Categorical Data
3.4 A Simulation Study
3.5 A Real Example
3.6 Discussion
Chapter 4 Lv Measure for Model Selection of Two—Level Structural Equation Models
4.1 Introduction
4.2 Model Description
4.3 Lv Measure for Two—Level Structural Equation Models
4.4 A Simulation Study
4.5 A Real Example
4.6 Discussion
Chapter 5 Lv Measure for Finite Mixture Structural Equation Models
5.1 Introduction
5.2 Model Description
5.3 Lv Measure for Finite Mixture SEMs
5.4 A Simulation Study
5.5 A Real Example
5.6 Discussion
Chapter 6 Conclusions and Further Developments
6.1 Conclusions
6.2 Discussion and Further Developments
Appendix A Variable Description in Real Examples
Appendix B WinBUGS and R2winBUGS
Appendix C WinBUGS and R2winBUGS Program in Chapter 3
References
Acknowledgement
