Description

Book Synopsis
Presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. This book includes more than 100 examples and 200 exercises, along with a solutions manual for instructors. It presents the fundamentals in probability and statistics along with their applications.

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)

"...the many engineering related examples and exercise problems are a strong feature..." (Technometrics, May 2005)

"...designed for students, and as reference for lecturers, the book provides a comprehensive understanding of probability and statistics..." (New Civil Engineer, 18 March, 2004)

"...written in an accessible and clear way...gives important techniques of the basic standard methods." (Zentralblatt Math, Vol.1049 2004)

"...a good introduction to the ideas of probability and statistics...I would recommend it to anyone as a reference for basic theory..." (Journal of Applied Statistics, Vol 32 (6) August 2005)



Table of Contents
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.

Fundamentals of Probability and Statistics for

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    £56.95

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    RRP £59.95 – you save £3.00 (5%)

    Order before 4pm today for delivery by Mon 6 Jul 2026.

    A Paperback / softback by T. T. Soong

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Fundamentals of Probability and Statistics for by T. T. Soong

      Publisher: John Wiley & Sons Inc
      Publication Date: 20/02/2004
      ISBN13: 9780470868140, 978-0470868140
      ISBN10: 0470868147

      Description

      Book Synopsis
      Presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. This book includes more than 100 examples and 200 exercises, along with a solutions manual for instructors. It presents the fundamentals in probability and statistics along with their applications.

      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)

      "...the many engineering related examples and exercise problems are a strong feature..." (Technometrics, May 2005)

      "...designed for students, and as reference for lecturers, the book provides a comprehensive understanding of probability and statistics..." (New Civil Engineer, 18 March, 2004)

      "...written in an accessible and clear way...gives important techniques of the basic standard methods." (Zentralblatt Math, Vol.1049 2004)

      "...a good introduction to the ideas of probability and statistics...I would recommend it to anyone as a reference for basic theory..." (Journal of Applied Statistics, Vol 32 (6) August 2005)



      Table of Contents
      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.

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