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Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to 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. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods.
*Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
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.