Probability and Statistics by A.M. Mathai & Hans J. Haubold
Probability & Statistics for Physicists & Engineers - Table of Contents
- 1. Random Phenomena
- 2. Probability
- 3. Random Variables
- 4. Expected Values
- 5. Commonly Used Discrete Distributions
- 6. Commonly Used Density Functions
- 7. Joint Distributions
- 8. Some Multivariate Distributions
- 9. Collection Of Random Variables
- 10. Sampling Distributions
- 11. Estimation
- 12. Interval Estimation
- 13. Tests Of Statistical Hypotheses
- 14. Model Building And Regression
- 15. Design Of Experiments And Analysis Of Variance
- 16. Questions And Answers
What You Will Learn in Probability & Statistics for Physicists & Engineers
Probability and Statistics by A. M. Mathai and Hans J. Haubold provides a comprehensive introduction to probability theory, stochastic processes, and statistical inference. Designed for undergraduate and graduate students in mathematics, physics, and engineering, this text serves as a core guide for probability statistics hypothesis testing problem solving practice.
The book systematically investigates discrete and continuous distributions, joint probability density functions, order statistics, limit theorems, point estimation, and confidence intervals. By combining mathematical depth with physical applications, Mathai and Haubold enable readers to execute essential probability distribution function derivations with absolute logical clarity.
Widely appreciated for its clear exposure and systematic worked examples, this volume remains an essential learning resource. Mathai and Haubold’s structured presentation equips readers with analytical tools necessary for mastering classical statistical inference principles across scientific disciplines.
Book Details & Specifications
Title:
Probability and Statistics by A.M. Mathai & Hans J. Haubold
Publisher:
De Gruyter
Year:
2018
Pages:
605
Type:
PDF
Language:
English
ISBN-10 #:
3110562537
ISBN-13 #:
978-3110562538
License:
CC BY-NC-ND 3.0
Amazon:
Amazon
About the Author: Arak M. Mathai
The author Arak M. Mathai
is Emeritus Professor of Mathematics and Statistics at McGill University, and Hans J. Haubold is a senior scientist associated with the United Nations Office for Outer Space Affairs, both widely distinguished for their research in special functions and astrophysics.
Together, Mathai and Haubold have published numerous authoritative academic textbooks, offering students worldwide with structured applied probability statistics study guides.
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