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Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities.
The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.
1. Probability Models
2. Random Variables and Distributions
4. Sampling Distributions and Limits
5. Statistical Inference
6. Likelihood Inference
7. Bayesian inference
8. Optimal Inferences
9. Model Checking
10. Relationships Among Variables
11. Advance Topic--Stochastic Processes
Posted December 12, 2003
If possible, never touch it! The typos are full of the book. Lack of examples, very badly organized and the most ridiculous thing about it is that it ask me to find another book to see the proof of one basic theorem. (The strong law of large numbers, which is quite essential in statistics!) I can only say, save your money and find another better book, this one is nothing but garb*ge!Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.