Solutions Manual of Probability and Statistics by DeGroot & Schervish | 4th edition

Book Details

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. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

About the Author

Born in Scranton, Pennsylvania, DeGroot graduated from Roosevelt University and earned master's and doctor's degrees from the University of Chicago. DeGroot joined Carnegie Mellon in 1957 and became a University Professor, the school's highest faculty position.
He wrote six books, edited four volumes and authored over one hundred papers. Most of his research was on the theory of rational decision-making under uncertainty. His Optimal Statistical Decisions, published in 1970, is still recognized as one of the great books in the field. His courses on statistical decision theory taught at Carnegie-Mellon influenced Edward C. Prescott and Robert Lucas, Jr., influential figures in the development of new classical macroeconomics and real business-cycle theory. DeGroot's undergraduate text, Probability and Statistics, published in 1975, is widely recognized as a classic textbook.

Solutions Manual of Probability and Statistics by DeGroot & Schervish | 4th edition ISBN 9780321715975

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Book Details