Description
T.T.Song – Fundamentals of Probability and Statistics for Engineers
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.
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)
From the Back Cover
Many books are already available on the general topic of ‘probability and statistics for engineers and scientists’, so why choose this one? Emphasising both sound development of the principles and their engineering applications, this book offers purposely selected practical examples from many different fields.
This textbook:
- Presents a sound treatment of the fundamentals in probability and statistics.
- Explains the concept of probabilistic modelling and the process of model selection, verification and analysis.
- Provides self-contained material with smooth and logical transition from chapter to chapter.
- Includes relevant and motivational applications in every chapter with numerous examples and problems.
- Demonstrates practical problem solving throughout the book with stimulating exercises, including answers to selected problems.
- Includes an accompanying online Solutions Manual for instructors with complete step-by-step solutions to all problems. (URL)
Fundamentals In Applied Probability And Statistics For Engineers provides invaluable support for all engineering students involved in applications of probability, random variables and statistical inference. This book is also an ideal reference for lecturers, educators and newcomers to the field who wish to increase their knowledge of fundamental concepts. Engineering consulting firms will also find the explanations and examples useful.
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