9781032007458: Statistical Theory
Couverture rigide
ISBN 10 : 1032007451 ISBN 13 : 9781032007458
Editeur : Chapman and Hall/CRC, 2022

Synopsis

Designed for a one-semester advanced undergraduate or graduate statistical theory course, Statistical Theory: A Concise Introduction, Second Edition clearly explains the underlying ideas, mathematics, and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, linear models, nonparametric statistics, and elements of decision theory. It introduces these topics on a clear intuitive level using illustrative examples in addition to the formal definitions, theorems, and proofs.

Based on the authors’ lecture notes, the book is self-contained, which maintains a proper balance between the clarity and rigor of exposition. In a few cases, the authors present a "sketched" version of a proof, explaining its main ideas rather than giving detailed technical mathematical and probabilistic arguments.

Features:

  • Second edition has been updated with a new chapter on Nonparametric Estimation; a significant update to the chapter on Statistical Decision Theory; and other updates throughout
  • No requirement for heavy calculus, and simple questions throughout the text help students check their understanding of the material
  • Each chapter also includes a set of exercises that range in level of difficulty
  • Self-contained, and can be used by the students to understand the theory
  • Chapters and sections marked by asterisks contain more advanced topics and may be omitted
    • Special chapters on linear models and nonparametric statistics show how the main theoretical concepts can be applied to well-known and frequently used statistical tools

    • The primary audience for the book is students who want to understand the theoretical basis of mathematical statistics—either advanced undergraduate or graduate students. It will also be an excellent reference for researchers from statistics and other quantitative disciplines.

    Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l?auteur

    Felix Abramovich is a professor at the Department of Statistics and Operations Research at Tel Aviv University.

    Ya'acov Ritov is a professor in the Department of Statistics at the University of Michigan, Ann Arbor. He is a professor emeritus of Statistics at the Hebrew University of Jerusalem.

    À propos de la quatrième de couverture

    Designed for a one-semester advanced undergraduate or graduate statistical theory course, this book clearly explains the underlying ideas, mathematics, and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, linear models etc.

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    Chapman and Hall/CRC
    Date d'édition
    2022
    Langue
    anglais
    ISBN 10 
    1032007451
    ISBN 13 
    9781032007458
    Reliure
    Relié
    Numéro d'édition
    2
    Nombre de pages
    222
    Coordonnées du fabricant
    non disponible
    Personne responsable
    gpsr@libri.de
    gpsr@libri.de

    Friedensallee 273
    Hamburg
    22763
    Allemagne