Introduction To Probability And Statistics For Engineers And Scientists 5th Edition


  • Author: Sheldon M Ross
  • Publisher: Elsevier India
  • ISBN-13: 9789351072805
  • Pages: 686
  • Binding: Paperback
  • Year of Pub / Reprint Year: 2014

Out of stock


About The Book

Key Features
Clear exposition by a renowned expert author
Real data examples that use significant real data from actual studies across life science, engineering, computing and business
End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material
25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
New additions to proofs in the estimation section
New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.
Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross’ text has tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations.
Primary audience is scientists and engineers, upper level undergraduates and graduate students in engineering and the sciences
Table Of Contents
Ch1 Introduction to Statistics
Ch3 Descriptive Statistics
Ch3 Elements of Probability
Ch4 Random Variables and Expectation
Ch5 Special Random Variables
Ch6 Distributions of Sampling Statistics
Ch7 Parameter Estimation
Ch8 Hypothesis Testing
Ch9 Regression
Ch10 Analysis of Variance
Ch11 Goodness of Fit Tests and Categorical Data Analysis
Ch12 non parametric HypothesisTests
Ch13 Quality Control
Ch14 LifeTesting
Ch15 Simulation, Bootstrap Statistical Methods, and Permutation Tests
Appendix of Tables