Models for probability and statistical inference : theory and applications / James H. Stapleton.

Author
Stapleton, James H., 1931- [Browse]
Format
Book
Language
English
Published/​Created
Hoboken, N.J. : Wiley-Interscience, c2008.
Description
xiii, 440 p. : ill. ; 25 cm.

Details

Subject(s)
Series
Wiley series in probability and statistics. [More in this series]
Summary note
"Models for Probability and Statistical Inference was written over a five-year period and serves as a comprehensive treatment of the fundamentals of probability and statistical inference. With detailed theoretical coverage found throughout the book, readers acquire the fundamentals needed to advance to more specialized topics, such as sampling, linear models, design of experiments, statistical computing, survival analysis, and bootstrapping."--BOOK JACKET.
Bibliographic references
Includes bibliographical references (p. 378-380) and index.
Contents
1. Probability Models -- 2. Special Discrete Distributions -- 3. Continuous Random Variables -- 4. Special Continuous Distributions -- 5. Conditional Distributions -- 6. Moment Generating Functions and Limit Theory -- 7. Estimation -- 8. Testing Hypotheses -- 9. The Multivariate Normal, Chi-square, t, and F Distributions -- 10. Nonparametric Statistics -- 11. Linear Models -- 12. Frequency Data -- 13. Miscellaneous Topics.
ISBN
  • 9780470073728 (cloth)
  • 0470073721 (cloth)
LCCN
2007013726
OCLC
122338172
RCP
C - S

Supplementary Information