Probability Theory and Statistical Methods for Engineers brings together probability theory with the more practical applications of statistics, bridging theory and practice. It gives a series of methods or recipes which can be applied to specific problems.
This book is essential reading for practicing engineers who need a sound background knowledge of probabilistic and statistical concepts and methods of analysis for their everyday work. It is also a useful guide for graduate engineering students.
Part 1 - Probability Theory y 2. Probability: The Axiomatic Approach 3. The Multivariate Case: Random Vectors 4. Convergences, Limit Theorems and the Law of Large Numbers Part 2 - Elements of Mathematical Statistics 5. Statistics: Preliminary Ideas and Basic Notions 6. The Test of Statistical Hypotheses 7. Regression, Correlation and the Method of Least Squares. References and Further Reading.