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Mathematical statistics and data analysis

Author: John A Rice
Publisher: Belmont, Calif. : Duxbury Press, ©1995.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Database:WorldCat
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  Read more...
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Additional Physical Format: Online version:
Rice, John A., 1944-
Mathematical statistics and data analysis.
Belmont, CA : Duxbury Press, ©1995
(OCoLC)646988665
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: John A Rice
ISBN: 0534209343 9780534209346
OCLC Number: 28548740
Description: xx, 602, A49 pages : illustrations ; 24 cm + 1 computer disk (3 1/2 in.).
Details: System requirements for computer disk: IBM-compatible PC; DOS. Files in ASCII and Minitab formats.
Contents: 1. Probability. 2. Random Variables. 3. Joint Distributions. 4. Expected Values. 5. Limit Theorems. 6. Distributions Derived from the Normal Distribution. 7. Survey Sampling. 8. Estimation of Parameters and Fitting of Probability Distributions. 9. Testing Hypotheses and Assessing Goodness of Fit. 10. Summarizing Data. 11. Comparing Two Samples. 12. The Analysis of Variance. 13. The Analysis of Categorical Data. 14. Linear Least Squares. 15. Decision Theory and Bayesian Inference.
Responsibility: John A. Rice.
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Abstract:

Re-examines the purpose of the math statistics course. The approach of the text, interweaving traditional topics with data analysis, reflects the use of the computer and is closely tied to the  Read more...

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   schema:reviewBody ""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."--Jacket." ;
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