Introduction to mathematical statistics by hogg 6th edition

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Availability This title is out of print. Overview Features Contents Order Overview. Description For one or two-semester, undergraduate mathematical statistics course, or for beginning graduate courses in mathematical statistics. Reviews "The writing style is exceptionally clear; also in the more advanced portion, I haven't any reservations about use.

NEW - Three added chapters —Covers nonparametric procedures for the location models and simple linear regression Ch. NEW - Expanded chapter on maximum likelihood procedures —Discusses and applies the EM algorithm to several maximum likelihood situations. Offers students a complete theory of estimation and testing. NEW - Added section on bootstrap confidence intervals and tests.

Helps students understand the bootstrap methods used throughout the book. NEW - Improved format and presentation —Features many theorems, definitions, and examples in bold faced type. NEW - Expanded reference list. Enables students and instructors to find the original source better. NEW - Improved organization of content —Features added exercises and examples.

Thorough treatment of classical statistical inference procedures in estimation and testing. Hogg, Joseph W. McKean, Allen T. Libraries near you: WorldCat.

Introduction to mathematical statistics , Prentice Hall. Introduction to mathematical statistics , Macmillan. Introduction to mathematical statistics: [by] Robert V. Hogg [and] Allen T.

Introduction to mathematical statistics Publisher unknown. Edition Notes Includes bibliographical references p. Classifications Dewey Decimal Class Craig, University of Iowa. Description For courses in mathematical statistics. Comprehensive coverage of mathematical statistics — with a proven approach Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises.

A comprehensive introduction to mathematical statistics with a proven approach In-depth treatment of sufficiency and testing theory includes uniformly most powerful tests and likelihood ratio tests. New - Many additional real data sets to illustrate statistical methods or compare methods. The data sets are also available to students in the free R package hmcpkg.

They can also be individually downloaded in an R session at pearsonhighered. Revised - Expanded use of the statistical software R, a powerful statistical language which is free and can run on all three main platforms.

However, instructors can choose another statistical package if desired. Use of R functions is increased to compute analyses and simulation studies, including several games. A brief R primer in Appendix B suffices for the understanding of the R used in the text. New - Downloadable, supplemented mathematical review material in Appendix A: reviews sequences, infinite series, differentiation, and integration univariate and bivariate.

Revised - Expanded discussion of iterated integrals, with added figures to clarify discussion. New - A new subsection on the bivariate normal distribution begins the section on the multivariate normal distribution in Chapter 3 Some Special Distributions. New - Discussion on standard errors for estimates obtained by bootstrapping the sample is now offered in Chapter 7 Sufficiency. Revised - Several topics that were discussed in the Exercises are now discussed in the text , including quantiles in Section 1.

Definitions, equations, and theorems are set in bold type help students study more effectively. New to This Edition. Many additional real data sets to illustrate statistical methods or compare methods. Expanded use of the statistical software R, a powerful statistical language which is free and can run on all three main platforms.