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| Preface ⅠIntroduction 1 Stochastics 1.1 The Science of Stochastics 1.2 Historical Remarks 1.3 Measurement Procedure and Measurement Range 2 Models Related to the Probability of an Event 2.1 The Concept of Probability 2.2 Random Variables and Data 2.3 The Model 2.4 The Random Sample 2.5 The Binomial Distribution 2.6 The Hypergeometric Distribution 2.7 Measuring in the Measurement Range 3 Traditional Estimation Proeedures 3.1 Theory of Estimatlon 3.1.1 Neyman’s Approach 3.1.2 Point and Interval Estimation 3.2 Interval Estimator for a Probability4： 3.3 The Relative Frequency X 3.4 Measurement Procedures Based Oil the Relative Frequency 3.4.1 raditional Measurement Procedures 3.4.2 Approximate Interval Estimators ⅡTheory 4 Measurement and Prediction Procedures 4.1 The Problem Revisited 4.2 Measurement＆Prediction Space 4.2.1 Measurement＆Prediction Space for（p，x） 4.2.2 Measurement＆Prediction Space for（p，x） 4.3 B-Measurement＆Prediction 4.3.1 The一Measurement＆Prediction Space for（P，X） 4.3.2 TheB-Measurement＆Prediction Space for（P，xs） 4.3.3 The Relation Between M and M 4.4 Quality of a Measurement Procedure 4.4.1 Quality of the B一Measurement＆Prediction Space for（X，p） 4.4.2 Quality of theB一Measurement＆Prediction Space for（xs，p） 4.5 NeymanB一Measurement Procedure 4.6 Determination of Neyman Measurement Procedures 4.7 Limiting Quality of Neyman Procedures 4.8 B-Measurement＆Prediction Space for a Large Sample Size 4.9 Illustrative Example 4.9.1 Prediction Procedure Based on X 4.9.2 Measurement Procedure Based on X 4.9.3 B-Measurement＆Prediction Space Based on（P，X） 4.9.4 Prediction＆Measurement Procedure Based on Xs 4.9.5 Traditional Measurement Procedure 5 Complete Measurement Procedures 6 Exclusion Procedures 7 Comparison Procedures Ⅲ Introduction to the Tables 8 Measurement Intervals 9 Prediction Regions Ⅳ Application 10 Measuring a Probability 11 Excluding a Probability 12 Comparing Probabilities Ⅴ Tables Glossary References Index |
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