9781032089423 - distributions for modeling location, scale, and shape: using gamlss in r (chapman & hall/crc the r series) de rigby, robert a.; stasinopoulos, mikis d.; heller, gillian z.; de bastiani, fernanda (20 resultados)
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Distributions for Modeling Location, Scale, and Shape : Using Gamlss in R
Stasinopoulos, Mikis D.; Heller, Gillian Z.; De Bastiani, Fernanda
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Distributions for Modeling Location, Scale, and Shape : Using Gamlss in R
Stasinopoulos, Mikis D.; Heller, Gillian Z.; De Bastiani, Fernanda
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Distributions for Modeling Location, Scale, and Shape (Chapman & Hall/CRC The R Series)
Rigby, Robert A.; Stasinopoulos, Mikis D.; Heller, Gillian Z.; De Bastiani, Fernanda
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Editorial: Chapman and Hall/CRC 2021
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Distributions for Modeling Location, Scale, and Shape : Using Gamlss in R
Stasinopoulos, Mikis D.; Heller, Gillian Z.; De Bastiani, Fernanda
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Distributions for Modeling Location, Scale, and Shape : Using Gamlss in R
Stasinopoulos, Mikis D.; Heller, Gillian Z.; De Bastiani, Fernanda
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Editorial: Chapman and Hall/CRC 2021
Serie: Chapman & Hall/CRC The R, Libro 50 de 73. Libro 50 de 73 - Chapman & Hall/CRC The R
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Distributions for Modeling Location, Scale, and Shape (Chapman & Hall/CRC The R Series)
Rigby, Robert A.; Stasinopoulos, Mikis D.; Heller, Gillian Z.; De Bastiani, Fernanda
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Distributions for Modeling Location, Scale, and Shape (Chapman & Hall/CRC The R Series)
Rigby, Robert A.; Stasinopoulos, Mikis D.; Heller, Gillian Z.; De Bastiani, Fernanda
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Editorial: Chapman and Hall/CRC 2021
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Distributions for Modeling Location, Scale, and Shape: Using Gamlss in R
Stasinopoulos, Mikis D./ Heller, Gillian Z./ De Bastiani, Fernanda
Idioma: Inglés
Editorial: Chapman & Hall 2021
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Taschenbuch. Condición: Neu. Distributions for Modeling Location, Scale, and Shape | Using GAMLSS in R | Robert A. Rigby (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9781032089423 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri…[dot]de | Anbieter: preigu.
Idioma: Inglés
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Paperback. Condición: new. Paperback. This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists… in a wide range of application areas, and also to those interested in the theoretical properties of distributions. This book follows the earlier book Flexible Regression and Smoothing: Using GAMLSS in R, [Stasinopoulos et al., 2017], which focused on the GAMLSS model and software. GAMLSS (the Generalized Additive Model for Location, Scale, and Shape, [Rigby and Stasinopoulos, 2005]), is a regression framework in which the response variable can have any parametric distribution and all the distribution parameters can be modelled as linear or smooth functions of explanatory variables. The current book focuses on distributions and their application.Key features: Describes over 100 distributions, (implemented in the GAMLSS packages in R), including continuous, discrete and mixed distributions. Comprehensive summary tables of the properties of the distributions. Discusses properties of distributions, including skewness, kurtosis, robustness and an important classification of tail heaviness. Includes mixed distributions which are continuous distributions with additional specific values with point probabilities. Includes many real data examples, with R code integrated in the text for ease of understanding and replication. Supplemented by the gamlss website. This book will be useful for applied statisticians and data scientists in selecting a distribution for a univariate response variable and modelling its dependence on explanatory variables, and to those interested in the properties of distributions. This is the second volume in a series of books about using the GAMLSS R package developed by the authors. This volume presents a broad overview of statistical distributions and how they can be used in practical applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be es…pecially useful to applied statisticians and data scientists in a wide range of application areas, and also to those interested in the theoretical properties of distributions. This book follows the earlier book 'Flexible Regression and Smoothing: Using GAMLSS in R', [Stasinopoulos et al., 2017], which focused on the GAMLSS model and software. GAMLSS (the Generalized Additive Model for Location, Scale, and Shape, [Rigby and Stasinopoulos, 2005]), is a regression framework in which the response variable can have any parametric distribution and all the distribution parameters can be modelled as linear or smooth functions of explanatory variables. The current book focuses on distributions and their application.Key features:Describes over 100 distributions, (implemented in the GAMLSS packages in R), including continuous, discrete and mixed distributions.Comprehensive summary tables of the properties of the distributions.Discusses properties of distributions, including skewness, kurtosis, robustness and an important classification of tail heaviness.Includes mixed distributions which are continuous distributions with additional specific values with point probabilities.Includes many real data examples, with R code integrated in the text for ease of understanding and replication.Supplemented by the gamlss website.This book will be useful for applied statisticians and data scientists in selecting a distribution for a univariate response variable and modelling its dependence on explanatory variables, and to those interested in the properties of distributions. 590 pp. Englisch.
Distributions for Modeling Location, Scale, and Shape (Chapman & Hall/CRC The R Series)
Rigby, Robert A.; Stasinopoulos, Mikis D.; Heller, Gillian Z.; De Bastiani, Fernanda
Idioma: Inglés
Editorial: Chapman and Hall/CRC 2021
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Robert Rigby was researching in Statistics at London Metropolitan University for over 30 years specializing in distributions and advanced regression and smoothing models (for supervised learning). He is one of the two… original developers.
Idioma: Inglés
Editorial: Taylor & Francis Ltd, London 2021
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Paperback. Condición: new. Paperback. This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists… in a wide range of application areas, and also to those interested in the theoretical properties of distributions. This book follows the earlier book Flexible Regression and Smoothing: Using GAMLSS in R, [Stasinopoulos et al., 2017], which focused on the GAMLSS model and software. GAMLSS (the Generalized Additive Model for Location, Scale, and Shape, [Rigby and Stasinopoulos, 2005]), is a regression framework in which the response variable can have any parametric distribution and all the distribution parameters can be modelled as linear or smooth functions of explanatory variables. The current book focuses on distributions and their application.Key features: Describes over 100 distributions, (implemented in the GAMLSS packages in R), including continuous, discrete and mixed distributions. Comprehensive summary tables of the properties of the distributions. Discusses properties of distributions, including skewness, kurtosis, robustness and an important classification of tail heaviness. Includes mixed distributions which are continuous distributions with additional specific values with point probabilities. Includes many real data examples, with R code integrated in the text for ease of understanding and replication. Supplemented by the gamlss website. This book will be useful for applied statisticians and data scientists in selecting a distribution for a univariate response variable and modelling its dependence on explanatory variables, and to those interested in the properties of distributions. This is the second volume in a series of books about using the GAMLSS R package developed by the authors. This volume presents a broad overview of statistical distributions and how they can be used in practical applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Editorial: Chapman And Hall/CRC 2021
Serie: Chapman & Hall/CRC The R, Libro 50 de 73. Libro 50 de 73 - Chapman & Hall/CRC The R
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especia…lly useful to applied statisticians and data scientists in a wide range of application areas, and also to those interested in the theoretical properties of distributions. This book follows the earlier book 'Flexible Regression and Smoothing: Using GAMLSS in R', [Stasinopoulos et al., 2017], which focused on the GAMLSS model and software. GAMLSS (the Generalized Additive Model for Location, Scale, and Shape, [Rigby and Stasinopoulos, 2005]), is a regression framework in which the response variable can have any parametric distribution and all the distribution parameters can be modelled as linear or smooth functions of explanatory variables. The current book focuses on distributions and their application.Key features:Describes over 100 distributions, (implemented in the GAMLSS packages in R), including continuous, discrete and mixed distributions.Comprehensive summary tables of the properties of the distributions.Discusses properties of distributions, including skewness, kurtosis, robustness and an important classification of tail heaviness.Includes mixed distributions which are continuous distributions with additional specific values with point probabilities.Includes many real data examples, with R code integrated in the text for ease of understanding and replication.Supplemented by the gamlss website.This book will be useful for applied statisticians and data scientists in selecting a distribution for a univariate response variable and modelling its dependence on explanatory variables, and to those interested in the properties of distributions.
Idioma: Inglés
Editorial: Taylor & Francis Ltd, London 2021
Serie: Chapman & Hall/CRC The R, Libro 50 de 73. Libro 50 de 73 - Chapman & Hall/CRC The R
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Paperback. Condición: new. Paperback. This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists… in a wide range of application areas, and also to those interested in the theoretical properties of distributions. This book follows the earlier book Flexible Regression and Smoothing: Using GAMLSS in R, [Stasinopoulos et al., 2017], which focused on the GAMLSS model and software. GAMLSS (the Generalized Additive Model for Location, Scale, and Shape, [Rigby and Stasinopoulos, 2005]), is a regression framework in which the response variable can have any parametric distribution and all the distribution parameters can be modelled as linear or smooth functions of explanatory variables. The current book focuses on distributions and their application.Key features: Describes over 100 distributions, (implemented in the GAMLSS packages in R), including continuous, discrete and mixed distributions. Comprehensive summary tables of the properties of the distributions. Discusses properties of distributions, including skewness, kurtosis, robustness and an important classification of tail heaviness. Includes mixed distributions which are continuous distributions with additional specific values with point probabilities. Includes many real data examples, with R code integrated in the text for ease of understanding and replication. Supplemented by the gamlss website. This book will be useful for applied statisticians and data scientists in selecting a distribution for a univariate response variable and modelling its dependence on explanatory variables, and to those interested in the properties of distributions. This is the second volume in a series of books about using the GAMLSS R package developed by the authors. This volume presents a broad overview of statistical distributions and how they can be used in practical applications. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
