Statistical Inference
By: George Casella, Roger L. Berger.
Contributors: Berger, Roger L.
Edition: 2nd ed.
Publisher: Thomson Learning
Published: 2002
Place of publication: Australia; Pacific Grove, CA
Language: eng
Number of pages: 660
Subjects: Mathematical statistics.; Probabilities.
First sentence: The subject of probability theory is the foundation upon which all of statistics is built, providing a means for modeling populations, experiments, or almost anything else that could be considered a random phenomenon.
Table of contents: label: 1
title: Probability Theory
pagenum: 1; label: 2
title: Transformations and Expectations
pagenum: 47; label: 3
title: Common Families of Distributions
pagenum: 85; label: 4
title: Multiple Random Variables
pagenum: 139; label: 5
title: Properties of a Random Sample
pagenum: 207; label: 6
title: Principles of Data Retention
pagenum: 271; label: 7
title: Point Estimation
pagenum: 311; label: 8
title: Hypothesis Testing
pagenum: 373; label: 9
title: Interval Estimation
pagenum: 417; label: 10
title: Asymptotic Evaluations
pagenum: 467; label: 11
title: Analysis of Variance and Regression
pagenum: 521; label: 12
title: Regression Models
pagenum: 577; title: Appendix: Computer Algebra
pagenum: 613; title: Table of Common Distributions
pagenum: 621; title: References
pagenum: 629; title: Author Index
pagenum: 645; title: Subject Index
pagenum: 649