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扩展的成对比较模型的贝叶斯分析

Dedication第4-5页
摘要第5-7页
ABSTRACT第7-8页
TABLE OF CONTENTS第9-13页
LIST OF FIGURES第13-14页
LIST OF TABLES第14-15页
1. INTRODUCTION第15-21页
    1.1. BACKGROUND AND INTRODUCTION第15-16页
    1.2. PROBLEM STATEMENT OF THE RESEARCH STUDY第16-17页
    1.3. AIMS OF THE RESEARCH STUDY第17-18页
    1.4. CONTRIBUTION TO THE RESEARCH STUDY第18页
    1.5 OUTLINE OF THE RESEARCH STUDY第18-21页
2. BAYESIAN FRAMEWORK AND PAIRED COMPARISON METHODS第21-47页
    2.1. BAYESIAN STATISTICS第21-33页
        2.1.1. Bayesian and Frequentist Statistics第22-23页
        2.1.2. Recompense of Bayesian Statistics第23-24页
        2.1.3. The Bayesian Method第24-29页
        2.1.4. Bayes Theorem第29-30页
        2.1.5. Posterior Distribution第30页
        2.1.6. Bayesian Credible Interval第30-31页
        2.1.7. Bayesian Hypothesis Testing第31页
        2.1.8. Approximating the Posterior Distribution第31-32页
        2.1.9. The Method of Gibbs Sampling第32-33页
    2.2. PAIRED COMPARISON METHOD第33-47页
        2.2.1. Advantages and Applications of Paired Comparison methods第34-35页
        2.2.2. Other Dealing Preference items and Paired第35-36页
        2.2.3. Paired Comparisons model and review of literature第36-47页
3. PAIRED COMPARISON MODELS第47-78页
    3.1. BAAREN PAIRED COMPARISON MODEL第47-50页
    3.2. NOTATIONS OF THE MODEL第50-52页
    3.3. LIKELIHOOD FUNCTION FOR THE MODEL第52页
    3.4. CHOICE OF A PRIOR DISTRIBUTION第52-54页
        3.4.1. Uniform Prior for the Parameters第53页
        3.4.2. Jeffreys Prior for the Parameters第53-54页
    3.5. BAYESIAN ANALYSIS OF THE MODEL-Ⅳ FOR THREE ITEMS第54-55页
    3.6. ANALYSIS VIA UNIFORM PRIOR第55-62页
        3.6.1. Posterior Distribution第55-56页
        3.6.2 Marginal Posterior Distribution第56-57页
        3.6.3. Posterior Estimates第57-58页
        3.6.4. Preference Probabilities第58-59页
        3.6.5. Bayesian Hypotheses Tesring第59-60页
        3.6.6 Predictive Probabilities第60-62页
    3.7. ANALYSIS VIA JEFFREYS PRIOR第62-67页
        3.7.1. Posterior Distribution第63页
        3.7.2. Margianl Posterior Distribution第63-64页
        3.7.3. Posterior Estimates第64-65页
        3.7.4. Preference Probabilities第65页
        3.7.5 Bayesian Hypothesis Testing第65-66页
        3.7.6. Predictive Probabilities第66-67页
    3.8. APPROPRIATENESS OF THE MODEL第67-68页
    3.9. SUMMARY AND COMPARISON OF RESULTS第68-69页
    3.10. COMPARISON BETWEEN THE VAN BAAREN MODEL-Ⅲ AND MODEL-Ⅳ第69-78页
        3.10.1. Bayesian Frame work of the models第71-72页
        3.10.2. Prior Specification第72页
        3.10.3. Posterior Estimates第72-73页
        3.10.4. Predictive Probabilities第73页
        3.10.5. Comparison of the models第73-78页
4. AMENDED PAIRED COMPARISON MODELS第78-98页
    4.1. STATISTICAL FORMATION OF THE AMENDED MODELS第78-80页
        4.1.1. Amended Model-Ⅰ第79-80页
        4.1.2. Amended Model-Ⅳ第80页
        4.1.3. Amended Model-Ⅵ第80页
    4.2. NOTATIONS AND LIKELIHOOD FUNCTION OF THE MODEL第80-86页
        4.2.1. Likelihood Function of Amended Model-Ⅰ第81-82页
        4.2.2. Likelihood Function of Amended Model-Ⅳ第82页
        4.2.3. Likelihood Function of Amended Model-Ⅵ第82-83页
        4.2.4. Prior distribution第83页
        4.2.5. Posterior distribution第83-84页
        4.2.6 Marginal Posterior densities第84页
        4.2.7. Posterior Estimates第84-85页
        4.2.8. Predictive probabilities第85-86页
        4.2.9. Posterior probabilities(Bayesian Hypothesis Testing)第86页
    4.3. NUMERICAL EVALUATION OF THE AMENDED MODELS第86-95页
    4.4. APPROPRIATENESS OF THE AMENDED MODELS第95-98页
        4.4.1. Appropriateness of the amended model-Ⅰ第95-96页
        4.4.2. Appropriateness of the amended model-Ⅳ第96页
        4.4.3. Appropriateness of the amended model-Ⅵ第96-97页
        4.4.4. Comparison of the combined Posterior Variances第97-98页
5. CONCLUSION AND RECOMMENDATIONS第98-101页
ACKNOWLEDGEMENTS第101-103页
REFERENCES第103-112页
APPENDIX-Ⅰ第112-114页
APPENDIX-Ⅱ第114-115页
APPENDIX-Ⅲ第115-121页
APPENDIX-Ⅳ第121-129页
APPENDIX-Ⅴ第129-130页
APPENDIX-Ⅵ第130-131页

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