Fundamentals of Mathematical Statistics

Fundamentals of Mathematical Statistics
ISBN-10
1032223839
ISBN-13
9781032223834
Series
Fundamentals of Mathematical Statistics
Category
Mathematical statistics
Language
English
Published
2023
Publisher
C&h/CRC Press
Author
Steffen L. Lauritzen

Description

"Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate level course on Mathematical Statistics. It covers all the key topics - statistical models, linear normal models, exponential families, estimation, asymptotics of maximum likelihood, significance testing, and models for tables of counts. It assumes a good background in mathematical analysis, linear algebra, and probability, but includes an appendix with basic results from these areas. Throughout the text, there are numerous examples and graduated exercises that illustrate the topics covered, rendering the book suitable for teaching or self-study. Features a concise, yet rigorous introduction to a one-semester course on mathematical statistics. Thus, this textbook will be a perfect fit for an advanced course on mathematical statistics or statistical theory. The concise and lucid approach means it could also serve as a good alternative, or supplement, to existing texts"--

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: Pearson New International Edition
    By Robert V. Hogg, Allen T. Craig, Joseph W. McKean

    Continuing its proven approach, the Seventh Edition has been updated with new examples, exercises, and content for an even stronger presentation of the material.

  • 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 ...