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Sunday, July 19, 2020 | History

4 edition of Linear statistical models found in the catalog.

Linear statistical models

James H. Stapleton

Linear statistical models

by James H. Stapleton

  • 261 Want to read
  • 10 Currently reading

Published by Wiley in Hoboken, N.J .
Written in English

    Subjects:
  • Linear models (Statistics)

  • Edition Notes

    Includes bibliographical references and index.

    StatementJames H. Stapleton.
    SeriesWiley series in probability and statistics
    Classifications
    LC ClassificationsQA279 .S695 2009
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL23165615M
    ISBN 109780470231463
    LC Control Number2009007421

    Linear Statistical ModelsDeveloped and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "ana. Book Description. Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models, or a resource used (in a course on mathematical statistics) to illustrate.

    Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated. An introduction to linear statistical models." to "Graydon, Alexander, Memoirs of a life, chiefly passed in Pennsylvania, within the last sixty years, with occasional remarks upon the general occurrences, character and spirit of that eventful period.".

    Chapter 19 Generalized linear models I: Count data. Biologists frequently count stuff, and design experiments to estimate the effects of different factors on these counts. For example, the effects of environmental mercury on clutch size in a bird, the effects of warming on parasite load in a fish, or the effect of exercise on RNA expression. Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in /5(3).


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Linear models in statistics/Alvin C. Rencher, G. Bruce Schaalje. – 2nd ed. Includes bibliographical references. ISBN (cloth) 1. Linear models (Statistics) I. Schaalje, G. Bruce. Title. QAR –dc22 Printed in the United States of America The essential introduction to the theory and application of linear models―now in a valuable new edition.

Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced by: The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts.

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(International Statistical Review, December ) "This indeed clearly written book will do great service for advanced undergraduate and also for PhD students." (International Statistical Review, Dec ) "This well-written book represents various topics on linear models with great clarity in an easy-to-understand style.".

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Part of the Duxbury Advanced Series in Statistics and Decision S /5(6). Linear Statistical Models, Second Edition is an excellent book for courses on linear models at the upper-undergraduate and graduate levels. It also serves as a comprehensive reference for statisticians, engineers, and scientists who apply multiple regression or analysis of Reviews: 1.

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Description: Linear Statistical Models Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which, in.

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