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Probability and Statistics: A Course for Physicists and Engineers by A M Mathai, H J Haubold

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About this book :-
Probability and Statistics: A Course for Physicists and Engineers written by A M Mathai, H J Haubold.
This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design.
Designed for students in engineering and physics with applications in mind. Proven by more than 20 years of teaching at institutions s.a. UN-affiliated Regional Centres for Space Science and Technology Education.

Book Detail :-
Title: Probability and Statistics: A Course for Physicists and Engineers
Edition:
Author(s): A M Mathai, H J Haubold
Publisher: De Gruyter
Series:
Year: 2018
Pages: 605
Type: PDF
Language: English
ISBN: 9783110562538; 9783110562545
Country: India
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About Author :-
Arak Mathai Arakaparampil Mathai "Arak" Mathai (born 1935) is an Indian mathematician who has worked in Statistics, Applied Analysis, Applications of special functions and Astrophysics. Mathai established the Centre for Mathematical Sciences, Palai, Kerala, India.
He has published more 25 books and more than 300 research publications. In 1998 he received the Founder Recognition Award from the Statistical Society of Canada. He is a Fellow of the National Academy of Sciences, India and a Fellow of the Institute of Mathematical Statistics. After completing his high school education in 1953 from St. Thomas High School, Palai with record marks he joined St. Thomas College, Palai and obtained his B Sc. degree in Mathematics in 1957. In 1959 he completed his master's degree in Statistics from University of Kerala, Thiruvananthapuram, Kerala, India with first class, first rank and gold medal. Then he joined St. Thomas College, Palai, University of Kerala, as a lecturer in Statistics and served there till 1961. He obtained Canadian Commonwealth scholarship in 1961 and went to University of Toronto, Canada for completing his MA degree in Mathematics in 1962. He was awarded PhD from University of Toronto, Canada in 1964. Then he joined McGill University, Canada as an Assistant Professor till 1968. From 1968 to 1978 he was an Associate Professor there. He became a Full Professor of McGill in 1979 and served the Department of Mathematics and Statistics until 2000. From 2000 onwards he was an Emeritus Professor of McGill University.

All Famous Books of this Author :-
Here is list all books/editions avaliable of this author, We recomended you to download all.
• Download PDF Linear Algebra: A Course for Physicists and Engineers by Arak Mathai, H J Haubold NEW
• Download PDF Jacobians of Matrix Transformations and Functions of Matrix Argument by A M Mathai NEW
• Download PDF Quadratic Forms in Random Variables by A M Mathai, S B Provost NEW
• Download PDF Probability and Statistics: A Course for Physicists and Engineers by A M Mathai, H J Haubold NEW
• Download PDF Probability and Statistics by Arak Mathai, P N Rathie NEW
• Download PDF Erdélyi–Kober Fractional Calculus by A M Mathai, H J Haubold NEW
• Download PDF Fractional & Multivariable Calculus by A M Mathai, H J Haubold NEW
• Download PDF Fractional & Multivariable Calculus by A M Mathai, H J Haubold NEW
• Download PDF Generalized Hypergeometric Functions by A M Mathai, R K Saxena NEW
• Download PDF Special Functions for Applied Scientists by A M Mathai, H J Haubold NEW
• Download PDF The H-Function: Theory and Applications by A M Mathai, Ram Kishore Saxena, Hans J Haubold NEW

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Book Contents :-
Special Functions for Applied Scientists written by A M Mathai, H J Haubold cover the following topics.
List of Tables
List of Symbols
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
Tables of percentage points
References
Index


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