{"product_id":"generalized-additive-models-for-location-scale-and-shape-a-distributional-regression-approach-with-applications-hardback-9781009410069","title":"Generalized Additive Models for Location, Scale and Shape; A Distributional Regression Approach, with Applications (Hardback) 9781009410069","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eGeneralized Additive Models for Location, Scale and Shape\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Distributional Regression Approach, with Applications\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eA comprehensive presentation of generalized additive models for location, scale and shape linking methods with diverse applications.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMikis D. Stasinopoulos (Author), Thomas Kneib (Author), Nadja Klein (Author), Andreas Mayr (Author), Gillian Z. Heller (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781009410069, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 29 February 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e306 pages\u003cbr\u003e26.2 x 18.5 x 2.2 cm, 0.77 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'In a relatively short time, GAMLSS has become very popular. The driving force was the quality of the R package that made this powerful model easily accessible for applied statisticians. Despite the popularity of the model, the literature on GAMLSS is relatively small. This book fills a gap: it carefully presents the existing theory and adds extensions like Bayesian inference and boosting as well as new tools for interpreting GAMLSS models. In addition, it contains a large section with new and inspiring applications.' Paul Eilers, Erasmus University Medical Center, Rotterdam, the Netherlands\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eAn 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface\u003cbr\u003e Notation and Termanology\u003cbr\u003e Part I. Introduction and Basics: 1. Distributional Regression Models\u003cbr\u003e 2. Distributions\u003cbr\u003e 3. Additive Model Terms\u003cbr\u003e Part II. Statistical Inference in GAMLSS: 4. Inferential Methods\u003cbr\u003e 5. Penalized Maximum Likelihood Inference\u003cbr\u003e 6. Bayesian Inference\u003cbr\u003e 7. Statistical Boosting for GAMLSS\u003cbr\u003e Part. III Applications and Case Studies: 8. Fetal Ultrasound\u003cbr\u003e 9. Speech Intelligibility Testing\u003cbr\u003e 10. Social Media Post Performance\u003cbr\u003e 11. Childhood Undernutrition in India\u003cbr\u003e 12. Socioeconomic Determinants of Federal Election Outcomes in Germany\u003cbr\u003e 13. Variable Selection for Gene Expression Data\u003cbr\u003e Appendix A. Continuous Distributions\u003cbr\u003e Appendix B. Discrete Distributions\u003cbr\u003e Bibliography\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52502975938840,"sku":"9781009410069","price":48.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781009410069i.jpg?v=1786322268","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/generalized-additive-models-for-location-scale-and-shape-a-distributional-regression-approach-with-applications-hardback-9781009410069","provider":"Freshly Printed Books","version":"1.0","type":"link"}