HOGG MCKEAN AND CRAIG 6TH EDITION PDF

View larger. For one or two-semester, undergraduate mathematical statistics course, or for beginning graduate courses in mathematical statistics. This classic text retains its outstanding features and continues to provide students with excellent background in the mathematics of statistics. Extensively revised with three new chapters. It is a much more professional and modern text than ours.

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Hello, Login. Visit Our Stores. Chapter topics cover classical statistical inference procedures in estimation and testing, and an in-depth treatment of sufficiency and testing theory—including uniformly most powerful tests and likelihood ratios. Many illustrative examples and exercises enhance the presentation of material throughout the book. For a more complete understanding of mathematical statistics.

It is a much more professional and modern text than ours. I would seriously consider adopting the text if I teach it again and shall suggest it to my colleagues. This revision enhances considerably the statistical inference part with discussion of new procedures and methods, and puts in perspective a broad array of modern statistical methods.

Virtually all testable terms, concepts, persons, places, and events are included. Cram Textbook Outlines gives all of the outlines, highlights, notes for your textbook with optional online practice tests. Only Cram Outlines are Textbook Specific. Cram is NOT the Textbook. Probability and Distribution. Multivariate Distributions.

Some Special Distributions. Unbiasedness, Consistency, and Limiting Distributions. Introduction to Inference. Maximum Likelihood Methods. Optimal Tests of Hypotheses. Inferences about Normal Models. Nonparametric Statistics. Bayesian Statistics. Appendix A. Regularity Conditions. Appendix B. Width: 7 in. Thickness: 1. McKean Author: Allen T. Receive an email when this ISBN is available used. COM Terms.

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Introduction to Mathematical Statistics (6th Edition)

Hello, Login. Visit Our Stores. Chapter topics cover classical statistical inference procedures in estimation and testing, and an in-depth treatment of sufficiency and testing theory—including uniformly most powerful tests and likelihood ratios. Many illustrative examples and exercises enhance the presentation of material throughout the book. For a more complete understanding of mathematical statistics. It is a much more professional and modern text than ours. I would seriously consider adopting the text if I teach it again and shall suggest it to my colleagues.

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Introduction to Mathematical Statistics, 6th Edition

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Hogg and Joseph W. McKean and Allen T. Hogg , Joseph W. McKean , Allen T. Craig Published Computer Science.

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Introduction To Mathematical Statistics 6TH Edition

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