Introduction to mathematical statistics sixth edition hogg

Introduction to Mathematical Statistics, 6th Edition. Hogg, University of Iowa Allen T. McKean, Western Michigan University. Overview Features Contents Order Overview. Description For one or two-semester, undergraduate mathematical statistics course, or for beginning graduate courses in mathematical statistics.

NEW — Three added chapters —Covers nonparametric procedures efition 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 crxig 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. In-depth treatment of sufficiency and testing theory —Includes uniformly most powerful tests, and likelihood ratio tests. Numerous illustrative examples and exercises. New to This Edition. Three added chapters —Covers nonparametric procedures for the location models and simple linear regression, Ch. Expanded chapter on maximum likelihood procedures —Discusses and applies the EM algorithm to several maximum likelihood situations.

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Be the first to start one ». Readers also enjoyed. Goodreads is hiring! 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. In-depth treatment of sufficiency and testing theory —Includes uniformly most powerful tests, and likelihood ratio tests.

Numerous illustrative examples and exercises. Enhances students' comprehension and retention as they progress through the material. New to This Edition. Three added chapters —Covers nonparametric procedures for the location models and simple linear regression, Ch.

Expanded chapter on maximum likelihood procedures —Discusses and applies the EM algorithm to several maximum likelihood situations. A more complete discussion of Monte Carlo procedures. Added section on bootstrap confidence intervals and tests.

Improved format and presentation —Features many theorems, definitions, and examples in bold faced type. Expanded reference list. Improved organization of content —Features added exercises and examples. Table of Contents 1. Previous editions. Introduction to Mathematical Statistics, 5th Edition.

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