Full Product Details
Author: Robert A. Rigby ,
Mikis D. Stasinopoulos ,
Gillian Z. Heller (Department of Statistics, Faculty of Science and Enginerring, Macquarie University, Australia) ,
Fernanda De Bastiani
Publisher: Taylor & Francis Ltd
Imprint: Chapman & Hall/CRC
Weight: 1.011kg
ISBN: 9781032089423
ISBN 10: 1032089423
Pages: 588
Publication Date: 30 June 2021
Audience:
College/higher education
,
General/trade
,
Tertiary & Higher Education
,
General
Format: Paperback
Publisher's Status: Active
Availability: In Print
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.
Reviews
...focuses on all probability distributions that can be used in GAMLSS modelling...a distributional regression framework making inroads in different fields due to its flexibility...GAMLSS's power rests on its capability to apply smoothers to numeric and categorical covariates and model numeric response variables via probability distributions other than the usual exponential family...including continuous distributions, ...discrete distributions and mixtures of continuous and discrete (mixed) distributions...This last type of distribution, although commonplace in practice, is rather ignored by applied researchers...The book has three parts. Part II ( Advanced topics ) contains eight Chapters, and is perhaps the most exciting section. It deals with topics that link the GAMLSS framework and probability distributions to 'hot' topics in statistical learning. ~ Fernando Marmolejo-Ramos, Raydonal Ospina, and Freddy Hernandez-Barajas, respectively University of South Australia, Universidade Federal de Pernambuco, and Universidad Nacional de Colombia sede Medellin, appeared in Australian and New Zealand Journal of Statistics, September 2022
Author Information
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 of GAMLSS models. He is currently a freelance consultant. Mikis Stasinopoulos is a statistician. He has a considerable experience in applied statistics and he is one of the two creators of GAMLSS. He worked as the director of STORM, the statistics and mathematics research centre of London Metropolitan University and now he is working as an independent statistical consultant. Gillian Heller is Professor of Statistics at Macquarie University, Sydney. Her research interests are mainly in flexible regression models for heavy-tailed count data, with applications in biostatistics and insurance. Fernanda De Bastiani is a permanent lecturer in the Statistics Department at Universidade Federal de Pernambuco, Brazil. Her research interests are mainly in flexible regression models, spatial data analysis and influential diagnostics in regression models.
