John E. Freund's Mathematical Statistics with Applications

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This classic calculus-based introduction to the theory and application of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the latest in statistical thinking, the teaching of statistics, and current practices. New to this edition is the addition of an applications section at the end of each chapter that deals with the theory presented. Further emphasis has been placed on the use of computers in performing statistical calculations by including computer exercises. Features Applications sections at the end of each theory chapter—Entitled “The Theory in Application.” Approximately 100 new exercises—Includes 1,200 exercises, many with a computer component. Comprehensive coverage of statistical theories. Extensive pedagogy—Contains highlighted key words, boxed inserts, illustrations, graphs, charts, and tables. Table of Contents Introduction. Probability. Probability Distributions and Probability Densities. Mathematical Expectation. Special Probability Distributions. Special Probability Densities. Functions of Random Variables. Sampling Distributions. Decision Theory. Point Estimation. Interval Estimation. Hypothesis Testing. Tests of Hypotheses Involving Means, Variances, and Proportions. Regression and Correlation. Design and Analysis of Experiments. Nonparametric Tests