Key features:

• Presents the fundamentals in probability and statistics along with relevant applications.
• Explains the concept of probabilistic modelling and the process of model selection, verification and analysis.
• Definitions and theorems are carefully stated and topics rigorously treated.
• Includes a chapter on regression analysis.
• Covers design of experiments.
• Demonstrates practical problem solving throughout the book with numerous examples and exercises purposely selected from a variety of engineering fields.
• Includes an accompanying online Solutions Manual for instructors containing complete step-by-step solutions to all problems.