Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    ISBN: 978-1-4987-2096-0 , 1-4987-2096-X
    Language: English
    Pages: xiii, 399 Seiten : , Diagramme ; , 24 cm.
    Edition: Second edition
    Series Statement: Texts in statistical science series 124
    Series Statement: 〈〈A〉〉 Chapman & Hall Book
    Series Statement: Texts in statistical science series
    DDC: 519.5/38
    RVK:
    RVK:
    RVK:
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Mathematisches Modell ; Analysis of variance ; Regression analysis ; R (Computer program language) Mathematical models ; R ; Regressionsanalyse. ; Varianzanalyse. ; Gemischtes Modell. ; Nichtparametrische Regression. ; R ; Regressionsanalyse ; Varianzanalyse ; Gemischtes Modell ; Varianzanalyse ; Nichtparametrische Regression ; R ; Varianzanalyse ; R
    Description / Table of Contents: Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition takes advantage of the greater functionality now available in R and substantially revises and adds several topics.New to the Second Edition Expanded coverage of binary and binomial responses, including proportion responses, quasibinomial and beta regression, and applied considerations regarding these models New sections on Poisson models with dispersion, zero inflated count models, linear discriminant analysis, and sandwich and robust estimation for generalized linear models (GLMs) Revised chapters on random effects and repeated measures that reflect changes in the lme4 package and show how to perform hypothesis testing for the models using other methods New chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method of INLA Revised chapter on generalized linear mixed models to reflect the much richer choice of fitting software now available Updated coverage of splines and confidence bands in the chapter on nonparametric regression New material on random forests for regression and classification Revamped R code throughout, particularly the many plots using the ggplot2 package Revised and expanded exercises with solutions now included Demonstrates the Interplay of Theory and Practice
    Note: "A Chapman & Hall book.". - Includes bibliographical references (pages 385-394) and index
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...