
Fundamentals of Probability and Statistics for Engineers
T. T. Soong(Author)
Wiley (Publisher)
1st Edition
Published on 20. February 2004
Book
Hardback
408 pages
978-0-470-86813-3 (ISBN)
Description
This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years. It is a true "learner's book" made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for instructors, means that this text is of real value to students and lecturers across a range of engineering disciplines. 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.
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.
Reviews / Votes
"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)More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 26 mm
Weight
777 gr
ISBN-13
978-0-470-86813-3 (9780470868133)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
05/2004
1st Edition
Wiley
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Available for download

Book
02/2004
1st Edition
Wiley
€75.50
Shipment within 10-20 days
Person
T. T. Soong is the author of Fundamentals of Probability and Statistics for Engineers, published by Wiley.
Content
Preface. 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.
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.