9780367658069: Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC the R)
Softcover
ISBN 10: 0367658062 ISBN 13: 9780367658069
Verlag: Chapman and Hall/CRC, 2020

Inhaltsangabe

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent.



In particular, the GAMLSS statistical framework enables flexible regression and smoothing models to be fitted to the data. The GAMLSS model assumes that the response variable has any parametric (continuous, discrete or mixed) distribution which might be heavy- or light-tailed, and positively or negatively skewed. In addition, all the parameters of the distribution (location, scale, shape) can be modelled as linear or smooth functions of explanatory variables.





Key Features:







  • Provides a broad overview of flexible regression and smoothing techniques to learn from data whilst also focusing on the practical application of methodology using GAMLSS software in R.






  • Includes a comprehensive collection of real data examples, which reflect the range of problems addressed by GAMLSS models and provide a practical illustration of the process of using flexible GAMLSS models for statistical learning.






  • R code integrated into the text for ease of understanding and replication.






    • Supplemented by a website with code, data and extra materials.






    • This book aims to help readers understand how to learn from data encountered in many fields. It will be useful for practitioners and researchers who wish to understand and use the GAMLSS models to learn from data and also for students who wish to learn GAMLSS through practical examples.

    Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Über die Autorin bzw. den Autor

    Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, Fernanda De Bastiani

    „Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

    Verlag
    Chapman and Hall/CRC
    Erscheinungsdatum
    2020
    Sprache
    Englisch
    ISBN 10 
    0367658062
    ISBN 13 
    9780367658069
    Einband
    Taschenbuch
    Anzahl der Seiten
    549
    Kontakt zum Hersteller
    Nicht verfügbar
    Verantwortliche Person
    gpsr@libri.de
    gpsr@libri.de

    Friedensallee 273
    Hamburg
    22763
    Deutschland

    Weitere beliebte Ausgaben desselben Titels

    9781138197909: Flexible Regression and Smoothing: Using GAMLSS in R (The R Series)

    Vorgestellte Ausgabe

    ISBN 10:  1138197904 ISBN 13:  9781138197909
    Verlag: Taylor & Francis Ltd, 2017
    Hardcover