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Introduction to Mathematical Statistics
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Introduction to Mathematical Statistics

Introduction to Mathematical Statistics

Robert V. Hogg, Joseph W. McKean, Allen Craig

700 pages, parution le 21/09/2004 (6eme édition)

Résumé

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.

New To This Edition

  • Three added chapters-Covers nonparametric procedures for the location models and simple linear regression, Ch. 10; a brief introduction to Bayesian methods, Ch. 11; and a comparison of robust and traditional least squares methods for linear models, Ch. 12.
  • 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.
  • A more complete discussion of Monte Carlo procedures.
  • Added section on bootstrap confidence intervals and tests.
    Helps students understand the bootstrap methods used throughout the book.
  • Improved format and presentation-Features many theorems, definitions, and examples in bold faced type.
    Makes it easier for students to find various items because more definitions, equations, and theorems are given by chapter section, and display numbers.
  • Expanded reference list.
    Enables students and instructors to find the original source better.
  • Improved organization of content-Features added exercises and examples.

L'auteur - Robert V. Hogg

Robert V. Hogg, University of Iowa

L'auteur - Joseph W. McKean

Joseph W. McKean, Western Michigan University

L'auteur - Allen Craig

Allen Craig, Deceased

Sommaire

  • Probability and Distribution
  • Multivariate Distributions
  • Some Special Distributions
  • Unbiasedness, Consistency, and Limiting Distributions
  • Introduction to Inference
  • Maximum Likelihood Methods
  • Sufficiency
  • Optimal Tests of Hypotheses
  • Inferences about Normal Models
  • Nonparametric Statistics
  • Bayesian Statistics
  • Linear Models
Voir tout
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Caractéristiques techniques

  PAPIER
Éditeur(s) Prentice Hall
Auteur(s) Robert V. Hogg, Joseph W. McKean, Allen Craig
Parution 21/09/2004
Édition  6eme édition
Nb. de pages 700
Format 18 x 23,5
Couverture Broché
Poids 1020g
Intérieur Noir et Blanc
EAN13 9780131226050
ISBN13 978-0-13-122605-0

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