包邮结构方程模型的选择方法研究:一种基于贝叶斯准则的模型选择方法

Chapter 1 Introduction 1.1 Overview 1.2 Lv Measure for Model Selection 1.3 Outline of the BookChapter 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 DiscussionChapter 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 DiscussionChapter 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 DiscussionChapter 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 DiscussionChapter 6 Conclusio
and Further Developments 6.1 Conclusio
6.2 Discussion and Further DevelopmentsAppendix A Variable Description in Real ExamplesAppendix B WinBUGS and R2winBUGSAppendix C WinBUGS and R2winBUGS Program in Chapter 3ReferencesAcknowledgement