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Flexible Regression Smoothing Using by Stasinopoulos Mikis (16 results)
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Flexible Regression and Smoothing : Using Gamlss in R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Condition: New.
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Flexible Regression and Smoothing : Using Gamlss in R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Condition: As New. Unread book in perfect condition.
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Flexible Regression and Smoothing: Using GAMLSS in R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Condition: New. pp. 549.
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Flexible Regression and Smoothing: Using GAMLSS in R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Condition: New. pp. 549.
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Flexible Regression and Smoothing : Using Gamlss in R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Flexible Regression and Smoothing: Using GAMLSS in R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Condition: New. pp. 549.
-
Flexible Regression and Smoothing : Using Gamlss in R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Flexible Regression and Smoothing: Using GAMLSS in R
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 1041.
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Flexible Regression and Smoothing: Using GAMLSS in R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Paperback. Condition: Brand New. reprint edition. 549 pages. 9.75x7.00x1.25 inches. In Stock.
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Flexible Regression and Smoothing | Using GAMLSS in R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Taschenbuch. Condition: Neu. Flexible Regression and Smoothing | Using GAMLSS in R | Mikis D. Stasinopoulos (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367658069 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Flexible Regression and Smoothing : Using Gamlss in R
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138197904 ISBN 13: 9781138197909
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Flexible Regression and Smoothing : Using Gamlss in R
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138197904 ISBN 13: 9781138197909
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138197904 ISBN 13: 9781138197909
Language: English
Hardcover. Condition: New. New. Ships from Multiple Locations. book.
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Condition: New. Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, Fernanda De BastianiThis book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Gener.
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Buch. Condition: Neu. Neuware - This book provides a broad overview of GAMLSS methodology and how it is implemented in R. It includes a comprehensive collection of real data examples, integrated code, and figures to illustrate the methods, and is supplemented by a website.
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Flexible Regression and Smoothing : Using GAMLSS in R
Published by Chapman And Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Language: English
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
