Probability and mathematical statistics : an introduction / Eugene Lukacs.

Format:

Book

Author/Creator:

Lukacs, Eugene, author.

Language:

English

Subjects (All):

Probabilities.

Mathematical statistics.

Physical Description:

1 online resource (255 p.)

Place of Publication:

New York ; London : Academic Press, 1972.

Language Note:

English

Summary:

Probability and Mathematical Statistics

Contents:

Front Cover; Probability and Mathematical Statistics: An Introduction; Copyright Page; Table of Contents; Preface; Introduction; References; PART I: PROBABILITY THEORY; Chapter 1. The Probability Space; 1.1 The Outcome Space; 1.2 Probabilities; 1.3 The Axioms; 1.4 Problems; References; Chapter 2. Elementary Properties of Probability Spaces; 2.1 Simple Consequences of the Axioms; 2.2 Conditional Probability and Independence; 2.3 Finite Probability Spaces; 2.4 Problems; Chapter 3. Random Variables and Their Probability Distributions; 3.1 Random Variables; 3.2 Distribution Functions

3.3 Examples of Discrete Distributions3.4 Examples of Absolutely Continuous Distributions; 3.5 Multivariate Distributions; 3.6 Problems; References; Chapter 4. Typical Values; 4.1 The Mathematical Expectation of a Random Variable; 4.2 Expectations of Functions of Random Variables; 4.3 Properties of Expectations; 4.4 Moments; 4.5 Regression; 4.6 Problems; Reference; Chapter 5. Limit Theorems; 5.1 Laws of Large Numbers; 5.2 The Central Limit Theorem; 5.3 The Poisson Approximation to the Binomial; 5.4 Problems; References; Chapter 6. Some Important Distributions

6.1 The Distribution of the Sum of Independent,Absolutely Continuous Random Variables6.2 Addition of Independent Normal Random Variables; 6.3 The Chi-Square Distribution; 6.3 The Chi-Square Distribution; 6.5 Problems; PART II: MATHEMATICAL STATISTICS; Chapter 7. Sampling; 7.1 Statistical Data; 7.2 Sample Characteristics; 7.3 Moments and Distributions of Sample Characteristics; 7.4 Problems; References; Chapter 8. Estimation; 8.1 Properties of Estimates; 8.2 Point Estimation; 8.3 Interval Estimation; 8.4 Problems; References; Chapter 9. Testing Hypotheses; 9.1 Statistical Hypotheses

9.2 The Power of a Test9.3 The /-Test; 9.4 Nonparametric Methods; 9.5 Problems; References; Appendix A. Some Combinatorial Formulas; Appendix B.The Gamma Function; Appendix C. Proof of the Central Limit Theorem; Appendix D. Tables; Answers to Selected Problems; Index

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

ISBN:

1-4832-6920-5