We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Price loading...
CRC Press Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)
Price data last checked 101 day(s) ago - refreshing...
Price History & Forecast
No Price Data Available
Price history will appear here once data is collected from Amazon.
Price Distribution
No price data available for histogram
Description
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.
Product Specifications
- Brand
- CRC Press
- Format
- hardcover
- ASIN
- 1138197904
- Domain
- Amazon UK
- Release Date
- 02 May 2017
- Listed Since
- 30 August 2016
Barcode
No barcode data available
Similar Products You Might Like
97% match
Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R (Chapman & Hall/CRC The R Series)
CRC Press
£62.08
10 Feb 2026
97% match
CRC Press Distributions for Modeling Location, Scale, and Shape
CRC Press
£100.00
17 Apr 2026
94% match
Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications
Cambridge University Press
£47.62
18 Mar 2026
94% match
Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
£75.43
08 Jan 2026
94% match
Introduction to General and Generalized Linear Models (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
£64.99
10 Mar 2026
93% match
Generalized Additive Models: 43 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Chapman and Hall/CRC
£128.85
22 Jan 2026
93% match
Smoothing Splines: Methods and Applications: 121 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
CRC Press
£138.27
08 Jan 2026
93% match
Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis
Chapman and Hall/CRC
£84.63
07 Feb 2026
93% match
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
£84.63
12 Dec 2025
93% match
Smoothing Splines: Methods and Applications (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Chapman and Hall/CRC
£45.99
09 Feb 2026
93% match
Data Analysis Using Hierarchical Generalized Linear Models with R
CRC Press
£100.00
28 Feb 2026
93% match
Design of Experiments for Generalized Linear Models (Chapman & Hall/CRC Interdisciplinary Statistics)
CRC Press
£87.39
21 Feb 2026
93% match
Generalized Linear Models With Examples in R (Springer Texts in Statistics)
Springer
£78.55
14 Jan 2026
93% match
An Introduction to Generalized Linear Models (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
£94.00
12 Jan 2026
93% match
Design of Experiments for Generalized Linear Models (Chapman & Hall/CRC Interdisciplinary Statistics)
CRC Press
£43.35
07 Mar 2026
93% match
CRC Press Nonparametric Models for Longitudinal Data in R
CRC Press
£124.87
19 Apr 2026
93% match
Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Chapman and Hall/CRC
£152.03
12 Jan 2026
93% match
Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)
CRC Press
£80.03
13 Jan 2026
92% match
An Introduction to Generalized Linear Models (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
£74.99
17 Mar 2026
92% match
Gaussian Process Regression Analysis for Functional Data
CRC Press
£134.87
12 Jan 2026
92% match
Regression Modeling with SAS - CRC Press Textbook
CRC Press
£137.61
18 Apr 2026
92% match
Growth Curve Analysis and Visualization Using R (Chapman & Hall/CRC The R Series)
CRC Press
£75.00
29 Mar 2026
92% match
Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
CRC Press
£50.70
07 Mar 2026
92% match
Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman & Hall/CRC Texts in Statistical Science)
CRC Press
£85.00
10 Mar 2026