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Item Details
| Title:
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INTRODUCTION TO THE THEORY OF STATISTICAL INFERENCE
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| By: |
Silvelyn Zwanzig, Hannelore Liero |
| Format: |
Paperback |
| List price:
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£53.99 |
| Our price: |
£48.59 |
| Discount: |
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| You save:
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£5.40 |
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| ISBN 10: |
1439852928 |
| ISBN 13: |
9781439852927 |
| Availability: |
Usually dispatched within 1-3 weeks.
 Delivery
rates
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| Stock: |
Currently 0 available |
| Publisher: |
TAYLOR & FRANCIS LTD |
| Pub. date: |
25 July, 2011 |
| Series: |
Chapman & Hall/CRC Texts in Statistical Science |
| Pages: |
284 |
| Description: |
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. |
| Synopsis: |
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. |
| Illustrations: |
40 black & white illustrations, 8 black & white tables |
| Publication: |
US |
| Imprint: |
Chapman & Hall/CRC |
| Returns: |
Returnable |
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