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Cambridge University Press Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

Name: Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications
Brand: Cambridge University Press
Price: 47.62 GBP
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Econometrics

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Description

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 questions and problems sets it apart. Case studies demonstrate how researchers in statistics and other data-rich disciplines can use the model in their work, exploring examples ranging from fetal ultrasounds to social media performance metrics. The R code and data sets for the case studies are available on the book's companion website, allowing for replication and further study.

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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, With Applications (Cambridge in Statistical and Probabilistic Mathematics, 56)

Product_Type: ABIS_BOOK

Brand: Cambridge University Press

Product Specifications

Brand: Cambridge University Press
Format: Hardcover
ASIN: 1009410067
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 29 February 2024
Listed Since: 22 September 2023

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Cambridge University Press Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

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