Product Description

Probability & Statistics was written for a one or two semester probability and statistics course 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. The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a new chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), expanded coverage of residual analysis in linear models, and more examples using real data.

Product Details

• Amazon Sales Rank: #401238 in Books
• Published on: 2001-11-22
• Binding: Paperback

Synopsis
Probability & Statistics was written for a one or two semester probability and statistics course 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. The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a new chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), expanded coverage of residual analysis in linear models, and more examples using real data.

Customer Reviews

Excellent - example laden and full of hands-on assignments
If, like me, you like to learn by doing, then this is the book for you. I bought this book when studying for a Computational Finance masters, and I'm now revising the subject matter by doing the questions and revising the examples. It beats having to re-read the whole thing.
If any book is worth £100, this one is.