Probability And Statistics For Engineers And Scientists 4Ed (Ie) (Pb 2013)

Hayter, Anthony J.

ISBN 10: 1133112145 / ISBN 13: 9781133112143

Published by Thomson Brooks/Cole, 2012

About this Item

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Seller Inventory # ABNR-76850

Bibliographic Details

• Title: Probability And Statistics For Engineers And Scientists 4Ed (Ie) (Pb 2013)
• Publisher: Thomson Brooks/Cole
• Publication Date: 2012
• Language: English
• ISBN 10: 1133112145
• ISBN 13: 9781133112143
• Binding: Soft cover
• Edition: 4th Edition, International Edition
• Condition: New

About this title

Synopsis

Dr. Hayter presents a careful, well-paced, and well-motivated introduction to probability and statistics designed for undergraduate students in scientific and technical disciplines. The presentation begins with probability and proceeds through coverage of data description and statistical inference. Hayter supports the concepts presented with a wealth of carefully developed examples. Numerous end-of-section exercises provide immediate opportunities for students to work with the concepts in the book.

Review

1. PROBABILITY THEORY. Probabilities. Events. Combinations of Events. Conditional Probability. Probabilities of Event Intersections. Posterior Probabilities. Counting Techniques. 2. RANDOM VARIABLES. Discrete Random Variables. Continuous Random Variables. The Expectation of a Random Variable. The Variance of a Random Variable. Jointly Distributed Random Variables. Combinations and Functions of Random Variables. 3. DISCRETE PROBABILITY DISTRIBUTIONS. The Binomial Distribution. The Geometric and Negative Binomial Distributions. The Hypergeometric Distribution. The Poisson Distribution. The Multinomial Distribution. 4. CONTINUOUS PROBABILITY DISTRIBUTIONS. The Uniform Distribution. The Exponential Distribution. The Gamma Distribution. The Weibull Distribution. The Beta Distribution. 5. THE NORMAL DISTRIBUTION. Probability Calculations Using the Normal Distribution. Linear Combinations of Normal Random Variables. Approximating Distributions with the Normal Distribution. Distributions Related to the Normal Distribution. 6. DESCRIPTIVE STATISTICS. Experimentation. Data Presentation. Sample Statistics. Examples. 7. STATISTICAL ESTIMATION AND SAMPLING DISTRIBUTIONS. Point Estimates. Properties of Point Estimates. Sampling Distributions. Constructing Parameter Estimates. 8. INFERENCES ON A POPULATION MEAN. Confidence Intervals. Hypothesis Testing. Summary. 9. COMPARING TWO POPULATION MEANS. Introduction. Analysis of Paired Samples. Analysis of Independent Samples. Summary. 10. DISCRETE DATA ANALYSIS. Inferences on a Population Proportion. Comparing Two Population Proportions. Goodness-of-Fit Tests for One-Way Contingency Tables. Testing for Independence in Two-Way Contingency Tables. 11. THE ANALYSIS OF VARIANCE. One Factor Analysis of Variance. Randomized Block Designs. 12. SIMPLE LINEAR REGRESSION AND CORRELATION. The Simple Linear Regression Model. Fitting the Regression Line. Inferences on the Slope Parameter ss1. Inferences on the Regression Line. Prediction Intervals for Future Response Values. The Analysis of Variance Tables. Residual Analysis. Variable Transformation. Correlation Analysis. 13. MULTIPLE LINEAR REGRESSION AND NONLINEAR REGRESSION. Introduction to Multiple Linear Regression. Examples of Multiple Linear Regression. Matrix Algebra Formulation of Multiple Linear Regression. Evaluating Model Adequacy. Nonlinear Regression. 14. MULTIFACTOR EXPERIMENTAL DESIGN AND ANALYSIS. Experiments with Two Factors. Experiments with Three or More Factors. 15. NONPARAMETRIC STATISTICAL ANALYSIS. The Analysis of a Single Population. Comparing Two Populations. Comparing Three or More Populations. 16. QUALITY CONTROL METHODS. Introduction. Statistical Process Control. Variable Control Charts. Attribute Control Charts. Acceptance Sampling. 17. RELIABILITY ANALYSIS AND LIFE TESTING. System Reliability. Modeling Failure Rates. Life Testing. Tables. Answers to Odd-Numbered Problems. Index.