All of Statistics A Concise Course in Statistical Inference
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickl...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
New York
Springer
2004
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| Series: | Springer texts in statistics
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| LEADER | 00000n a2200000 a 4501 | ||
|---|---|---|---|
| 001 | wils-351232 | ||
| 005 | 2024219165122 | ||
| 020 | # | # | |a 0387402721 (acid-free paper) |
| 040 | # | # | |a DLC |d UiTM |e rda |
| 041 | 0 | # | |a eng |
| 090 | 0 | 0 | |a QA276.12 |b .W37 2004 |
| 100 | 1 | # | |a Wasserman, Larry |c 1959- |e author |
| 245 | 1 | 1 | |a All of Statistics |b A Concise Course in Statistical Inference |c Larry Wasserman |
| 264 | # | 1 | |a New York |b Springer |c 2004 |
| 300 | # | # | |a xix, 442 pages |b illustrations |c 25 cm |
| 336 | # | # | |a text |2 rdacontent |
| 337 | # | # | |a unmediated |2 rdamedia |
| 338 | # | # | |a volume |2 rdacarrier |
| 490 | 1 | # | |a Springer texts in statistics |
| 504 | # | # | |a Includes bibliographical references (p. [423]-430) and index |
| 520 | # | # | |a Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. |
| 650 | # | 0 | |a Mathematical statistics |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=351232 |
| 964 | # | # | |c BOK |d 01 |
Statistical Inference