Introduction to Mathematical Statistics

ISBN-10
0131809288
ISBN-13
9780131809284
Series
Introduction to Mathematical Statistics
Category
Mathematical statistics
Pages
564
Language
English
Published
1995-01
Authors
Robert V. Hogg, Allen T. Craig

Description

The fifth edition of this text offers a careful presentation of the probability needed for mathematical statistics and the mathematics of statistical inference.

Other editions

Similar books

  • The Selected Papers of E. S. Pearson
    By Egon Sharpe Pearson

    The Selected Papers of E. S. Pearson

  • Introduction to Mathematical Statistics
    By Robert V. Hogg, Joseph W. McKean, Allen Thornton Craig

    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.

  • Statistics
    By David Freedman

    Statistics

  • Statistics, 4/E
    By David Freedman

    Techniques are introduced through examples, showing how statistics has helped to solve major problems in political science, psychology, genetics, medicine, and other fields.

  • Introduction to Mathematical Statistics and Its Applications
    By Richard J. Larsen, Morris L. Marx

    Noted for its integration of real-world data and case studies, this text offers sound coverage of the theoretical aspects of mathematical statistics.

  • Stats in Your World
    By Richard D. De Veaux, David E. Bock, Paul F. Velleman

    "A high school book written to help students make sense of the world with statistics."--

  • Modern Statistics: An Introduction
    By Don McNeil, Jenny Middledorp

    This Pearson Original edition is published for Macquarie University.

  • Statistics
    By Fiona McGill, Stewart McLennan, Jane Migliorini

    ... the student should be able to : • draw a scatter diagram and a line of best fit • distinguish between positive and negative correlation • calculate covariance • calculate Pearson's product moment correlation coefficient calculate ...

  • Probability and Statistics
    By Morris H. DeGroot, Mark J.. Schervish

    The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in ...