The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data.
Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
CourseSmart textbooks do not include any media or print supplements that come packaged with the bound book.
Table of Contents
1. Introduction to Probability
2. Conditional Probability
3. Random Variables and Distributions
5. Special Distributions
6. Large Random Samples
8. Sampling Distributions of Estimators
9. Testing Hypotheses
10. Categorical Data and Nonparametric Methods
11. Linear Statistical Models
Purchase Info ?
With CourseSmart eTextbooks and eResources, you save up to 60% off the price of new print textbooks, and can switch between studying online or offline to suit your needs.
Once you have purchased your eTextbooks and added them to your CourseSmart bookshelf, you can access them anytime, anywhere.
Probability & Statistics, CourseSmart eTextbook, 4th Edition
Format: Safari Book
$86.99 | ISBN-13: 978-0-321-69423-2