All of Statistics: A Concise Course in Statistical Inference-with 95 Figures (Record no. 40358)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02177nam a2200193 a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780387402727 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 0387402721 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5 |
| Item number | WAS |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Wasserman,Larry |
| 245 ## - TITLE STATEMENT | |
| Title | All of Statistics: A Concise Course in Statistical Inference-with 95 Figures |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | New York : |
| Name of publisher | Springer, |
| Year of publication | ©2004. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xix, 442 pages : |
| Other physical details | illustrations ; |
| 490 ## - SERIES STATEMENT | |
| Series statement | Springer texts in statistics. |
| 500 ## - GENERAL NOTE | |
| General note | Bibliography & index |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | I. Probability --<br/>1. Probability --<br/>2. Random Variables --<br/>3. Expectation --<br/>4. Inequalities --<br/>5. Convergence of Random Variables --<br/>II. Statistical Inference --<br/>6. Models, Statistical Inference and Learning --<br/>7. Estimating the CDF and Statistical Functionals --<br/>8. The Bootstrap --<br/>9. Parametric Inference --<br/>10. Hypothesis Testing and p-values --<br/>11. Bayesian Inference --<br/>12. Statistical Decision Theory --<br/>III. Statistical Models and Methods --<br/>13. Linear and Logistic Regression --<br/>14. Multivariate Models --<br/>15. Inference About Independence --<br/>16. Causal Inference --<br/>17. Directed Graphs and Conditional Independence --<br/>18. Undirected Graphs --<br/>19. Log-Linear Models --<br/>20. Nonparametric Curve Estimation --<br/>21. Smoothing Using Orthogonal Functions --<br/>22. Classification --<br/>23. Probability Redux: Stochastic Processes --<br/>24. Simulation Methods. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | <br/>"This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining, and machine learning." "This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate levels."--Jacket. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Mathematical statistics. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Reference Books |
| Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Reference | Main Library | Main Library | Reference | 15/06/2010 | Purchased | 13865.00 | 519.5 WAS | 012094 | Reference Books |
| Reference | Main Library | Main Library | Reference | 23/09/2008 | Purchased | 10400.00 | 519.5 WAS | 011304 | Reference Books |