Introduction to probability theory and statistical inference

Author(s)

• Larson, Harold J.

Bibliographic Information

Introduction to probability theory and statistical inference

Harold J. Larson

（Wiley series in probability and mathematical statistics, . Probability and mathematical statistics）

Wiley, c1982

3rd ed

• : pbk

Note

Includes index

Description and Table of Contents

Description

Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on descriptive statistics. Cramer-Rao bounds for variance of estimators, two-sample inference procedures, bivariate normal probability law, F-Distribution, and the analysis of variance and non-parametric procedures. Contains numerous practical examples and exercises.

Table of Contents

Set Theory. Probability. Random Variables and Distribution Functions. Some Standard Probability Laws. Jointly Distributed Random Variables. Descriptive and Inferential Statistics. Estimation of Parameters. Tests of Hypotheses. Least Squares and Regression. Nonparametric Methods. Bayesian Methods. Appendices. Answers to Exercises. Index.

by "Nielsen BookData"

Details

• NCID: BA03429623
• ISBN:
  • 0471059099
  • 047186546X
• LCCN: 81016246
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: New York
• Pages/Volumes: xi, 637 p.
• Size: 24 cm
• Classification:
  • LCC : QA273
  • DC19 : 519.2
• Subject Headings:
  • LCSH : Probabilities
  • LCSH : Mathematical statistics
• Parent Bibliography ID:
  • BA00019013