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Flexible Regression Smoothing Using by Stasinopoulos Mikis (19 results)
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Flexible Regression and Smoothing : Using Gamlss in R
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Condition: As New. Unread book in perfect condition.
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Flexible Regression and Smoothing: Using Gamlss in R (Chapman & Hall/CRC the R)
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Condition: New. pp. 549.
-
Flexible Regression and Smoothing : Using Gamlss in R
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Condition: New.
-
Flexible Regression and Smoothing : Using Gamlss in R
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
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
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
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)
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Condition: New. pp. 549 Reprint edition NO-PA16APR2015-KAP.
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Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138197904 ISBN 13: 9781138197909
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good. Cover and edges may have some wear.
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Flexible Regression and Smoothing: Using GAMLSS in R
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
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.
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Flexible Regression and Smoothing: Using Gamlss in R (Chapman & Hall/CRC the R)
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
Condition: New. pp. 549.
-
Flexible Regression and Smoothing: Using GAMLSS in R
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
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
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
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
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138197904 ISBN 13: 9781138197909
Condition: As New. Unread book in perfect condition.
-
Flexible Regression and Smoothing : Using Gamlss in R
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138197904 ISBN 13: 9781138197909
Condition: New.
-
Flexible Regression and Smoothing : Using Gamlss in R
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138197904 ISBN 13: 9781138197909
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
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138197904 ISBN 13: 9781138197909
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138197904 ISBN 13: 9781138197909
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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Flexible Regression and Smoothing : Using GAMLSS in R
Book 29 of 73: Chapman & Hall/CRC The RLanguage: English
Published by Chapman And Hall/CRC, 2020
ISBN 10: 0367658062 ISBN 13: 9780367658069
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.
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Buch. 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.
