This graduate-level text on statistical inference is unique in providing a detailed comparison of frequentist and Bayesian approaches. It covers recent computational methods, methods for point and interval estimation, and hypothesis testing and prediction.
Statistical inference : the minimum distance approach
โ Scribed by Ayanendranath Basu; Hiroyuki Shioya; Chanseok Park
- Publisher
- CRC Press
- Year
- 2011
- Tongue
- English
- Leaves
- 424
- Series
- Monographs on statistics and applied probability (Series), 120
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Cover......Page 1
Dedication......Page 8
Contents......Page 10
Preface......Page 16
Acknowledgments......Page 20
1. Introduction......Page 22
2. Statistical Distances......Page 42
3. Continuous Models......Page 94
4. Measures of Robustness and Computational Issues......Page 136
5. The Hypothesis Testing Problem......Page 188
6. Techniques for Inlier Modification......Page 216
7. Weighted Likelihood Estimation......Page 256
8. Multinomial Goodness-of-Fit Testing......Page 286
9. The Density Power Divergence......Page 318
10. Other Applications......Page 348
11. Distance Measures in Information and Engineering......Page 360
12. Applications to Other Models......Page 374
Bibliography......Page 394
โฆ Subjects
ะะฐัะตะผะฐัะธะบะฐ;ะขะตะพัะธั ะฒะตัะพััะฝะพััะตะน ะธ ะผะฐัะตะผะฐัะธัะตัะบะฐั ััะฐัะธััะธะบะฐ;ะะฐัะตะผะฐัะธัะตัะบะฐั ััะฐัะธััะธะบะฐ;
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