预订 Flexible Regression and Smoothing 预订,预计下单后3-4周左右发货!
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【预订】Flexible Regression and Smoothing 9780367658069 国外库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9780367658069 Author 作者 Mikis D. Stasinopoulos Format 版本 平装-胶订 Pages Number 页数 572页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 2020-09-30 Shipping Weight 商品重量 1060g Language 语种 英语 Book Contents 内容简介 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
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【预订】Generalized Additive Models for Location, Scale and Shap 国外库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9781009410069 Author 作者 Mikis D. Stasinopoulos Format 版本 精装 Pages Number 页数 299页 Publisher 出版社 Cambridge University Press Publication Date 出版日期 2024-02-01 Product Dimensions 商品尺寸 254x178mm Language 语种 其它(含多语) Book Contents 内容简介 An emerging field in statistics, distributional regression facilitates the modelling of the complete conditional distribution, rather than just the mean. This book introduces generalized additive models for location, scale and shape (GAMLSS) – one of the most important classes of distributional regression. Taking a broad perspective, the authors consider penalized likelihood inference, Bayesian inference, and boosting as potential ways of estimating models and illustrate their usage in complex applications. Written by the international team who developed GAMLSS, the text’s focus on practical q
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【预订】Flexible Regression and Smoothing 9781138197909 美国库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9781138197909 Author 作者 Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Format 版本 精装 Pages Number 页数 572页 Publication Date 出版日期 2017-05-08 Language 语种 英语 Book Contents 内容简介 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. GAMLSS allows any parametric distribution for the response variable and modelling all the parameters (location, scale and shape) of the distribution as linear or smooth functions of explanatory variables. 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 su
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【预订】Distributions for Modeling Location, Scale, and Shape: U 国外库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9781032089423 Author 作者 Mikis D. Stasinopoulos Format 版本 平装-胶订 Pages Number 页数 560页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 2021-06-30 Language 语种 其它(含多语) Book Contents 内容简介 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
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海外直订Flexible Regression and Smoothing: Using Gamlss in R
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海外直订Flexible Regression and Smoothing: Using Gamlss in R 灵活的
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