Preface; Part I. Probability: 1. Probability models; 2. Sampling; 3. Product models; 4. Conditional probability; 5. Random variables; 6. Special distributions; 7. Multivariate distributions; Part II. Statistics. Introduction to Statistics: 8. Estimation; 9. Estimation in measurement and sampling models; 10. Optimum methods of estimation; 11. Tests of significance; 12. Tests for comparative experiments; 13. Concept of power; Tables; Selected answers to problems; Index; Example index.
This book provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background.
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