Fundamentals of Probability and Statistics for Engineers

Front Cover
John Wiley and Sons, Mar 26, 2004 - Mathematics - 391 pages
1 Review
Many books are already available on the general topic of 'probability and statistics for engineers and scientists', so why choose this one? This textbook differs 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 and the process of model selection, verification and analysis. 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.
 

What people are saying - Write a review

User Review - Flag as inappropriate

Fundamentals In Applied Probability And Statistics For Engineers
Many books are already available on the general topic of 'probability and statistics for engineers and scientists', so why choose this
one? This textbook differs 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 and the process of model selection, verification and analysis. 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.
Limited preview - About this book -
 

Contents

BASIC PROBABILITY CONCEPTS
7
RANDOM VARIABLES AND PROBABILITY
37
EXPECTATIONS AND MOMENTS
75
FUNCTIONS OF RANDOM VARIABLES
119
SOME IMPORTANT DISCRETE DISTRIBUTIONS
161
SOME IMPORTANT CONTINUOUS DISTRIBUTIONS
191
OBSERVED DATA AND GRAPHICAL REPRESENTATION
247
PARAMETER ESTIMATION
259
Students t Distribution with n Degrees of Freedom
370
ChiSquared Distribution with n Degrees of Freedom
371
D2 Distribution with Sample Size n
372
References
373
COMPUTER SOFTWARE
375
ANSWERS TO SELECTED PROBLEMS 379
381
Chapter 5
382
Chapter 6
384

MODEL VERIFICATION
315
LINEAR MODELS AND LINEAR REGRESSION
335
TABLES
365
Poisson Mass Function
367
Standardized Normal Distribution Function
369
Chapter 7
385
Chapter 10
386
SUBJECT INDEX 389
390
Copyright

Other editions - View all

Common terms and phrases

References to this book

Bibliographic information