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Introduction to the Theory of Statistical Inference. 統計的推測の理論入門
・ISBN 978-1-4398-5292-7 paper GB£ 61.99
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| 著者・編者 | Zwanzig, Silvelyn / Liero, H., |
|---|---|
| シリーズ | Chapman & Hall/CRC Texts in Statistical Science Series |
| 出版社 | (Chapman & Hall / CRC, US) |
| 出版年月 | 2011 |
| ページ数 | 284 pp. |
| 言語 | ENG |
| ニュース番号 | ＜586-302＞ |
解説
Based on the authors' lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical inference, the book offers proofs to support the mathematics. It illustrates core concepts using cartoons and provides solutions to all examples and problems.
Highlights
- Basic notations and ideas of statistical inference are explained in a mathematically rigorous, but understandable, form
- Classroom-tested and designed for students of mathematical statistics
- Examples, applications of the general theory to special cases, exercises, and figures provide a deeper insight into the material
- Solutions provided for problems formulated at the end of each chapter
- Combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models
- Theoretical, difficult, or frequently misunderstood problems are marked
The book is aimed at advanced undergraduate students, graduate students in mathematics and statistics, and theoretically-interested students from other disciplines. Results are presented as theorems and corollaries. All theorems are proven and important statements are formulated as guidelines in prose. With its multipronged and student-tested approach, this book is an excellent introduction to the theory of statistical inference.