Research Catalog
Mathematical statistics and data analysis
- Title
- Mathematical statistics and data analysis / John A. Rice.
- Author
- Rice, John A., 1944-
- Publication
- Belmont, Calif. : Duxbury Press, [1994] cl995.
Items in the Library & Off-site
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1 Item
| Status | Vol/Date | Format | Access | Call Number | Item Location |
|---|---|---|---|---|---|
Not available - Please for assistance. | book & computer disk | Text | Request in advance | QA276.12 .R53 1994 book & computer disk | Off-site |
Holdings
Details
- Description
- xx, 602, 49 pages : illustrations; 25 cm +
- Summary
- "Mathematical Statistics and Data Analysis, Second Edition, introduces the important modern ideas of statistics into a mathematical statistics course, emphasizing data analysis, graphics, and computer-driven techniques. To show the integral role mathematical statistics plays in actual statistical practice and scientific investigations, the book examines real problems with real data to motivate your understanding of theory." "In this edition, the author has integrated bootstrap material with more traditional inferential procedures, added coverage of the Monte Carlo method, and completely revised presentation of confidence intervals in his treatment of survey sampling. In addition, many new examples have been added to clarify concepts, along with more than 150 new exercises designed to reinforce your ability to perform calculations."--BOOK JACKET.
- Subject
- Note
- On top of spine: ITP [International Thomson Publishing].
- Bibliography (note)
- Includes bibliographical references (p. 25-30, 2nd set) and indexes.
- System Details (note)
- System requirements for the computer disk: IBM PC or compatible.
- Contents
- Ch. 1. Probability -- Ch. 2. Random Variables -- Ch. 3. Joint Distributions -- Ch. 4. Expected Values -- Ch. 5. Limit Theorems -- Ch. 6. Distributions Derived from the Normal Distribution -- Ch. 7. Survey Sampling -- Ch. 8. Estimation of Parameters and Fitting of Probability Distributions -- Ch. 9. Testing Hypotheses and Assessing Goodness of Fit -- Ch. 10. Summarizing Data -- Ch. 11. Comparing Two Samples -- Ch. 12. The Analysis of Variance -- Ch. 13. The Analysis of Categorical Data -- Ch. 14. Linear Least Squares -- Ch. 15. Decision Theory and Bayesian Inference -- Appendix A Common Distributions.
- ISBN
- 0534209343 (set : acid-free paper)
- LCCN
- 93028340
- OCLC
- 28548740
- ocm28548740
- SCSB-3094686
- Owning Institutions
- Columbia University Libraries