Description
Book SynopsisPresents the fundamentals in probability and statistics along with relevant applications. This book explains the concept of probabilistic modelling and the process of model selection, verification and analysis. It also demonstrates practical problem solving with examples and exercises.
Trade Review“For most practising engineers, this book would make a superb reference text, simply because there are so many worked examples, all extremely relevant to engineers.” (Significance, 1 March 2005)
Table of ContentsPreface.
1. Introduction.
Part A: Probability and Random Variables.
2. Basic Probability Concepts.
3. Random Variables and Probability Distributions.
4. Expectations And Moments.
5. Functions of Random Variables.
6. Some Important Discrete Distributions.
7. Some Important Continuous Distributions.
Part B: Statistical Inference, Parameter Estimation, and Model Verification.
8. Observed Data and Graphical Representation.
9. Parameter Estimation.
10. Model Verification.
11. Linear Models and Linear Regression.
Appendix A: Tables.
Appendix B: Computer Software.
Appendix C: Answers to Selected Problems.
Subject Index.
