Bayesian Smoothing and Regression for Longitudinal, Spatial and - Event History Dat

Informationen zum Autor Ludwig Fahrmeir is Professor Emeritus, Department of Statistics, Ludwig-Maximilians-University Munich. He has been Professor of Statistics at the University of Regensburg, Chairman of the Collaborative Research Centre "Statistical Analysis of Discrete Structures with Applications in Econometrics and Biometrics" and was coordinator of the project "Analysis and Modelling of Complex Systems in Biology and Medicine" at the University of Munich. He is an Elected Fellow of the International Statistical Institute.Thomas Kneib received a PhD in Statistics in 2006 from the University of Munich. He has been visiting Professor for Applied Statistics at the University of Ulm and Professor for Statistics at the University of Göttingen. Currently, he is Professor for Applied Statistics at the University of Oldenburg. Klappentext Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry, development economics, medicine and marketing. Zusammenfassung Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry, development economics, medicine and marketing.

Dettagli sul prodotto

• Autori: Ludwig Fahrmeir, Ludwig (Department of Statistics Fahrmeir, Ludwig/ Kneib Fahrmeir, Fahrmeir Ludwig, Thomas Kneib, Thomas (Department of Statistics Kneib, Kneib Thomas
• Editore: Oxford University Press
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 24.06.2011
• EAN: 9780199533022
• ISBN: 978-0-19-953302-2
• Pagine: 512
• Serie: Oxford Statistical Science Series; Oxford Statistical Science; Oxford Statistical Science Series; Oxford Statistical Science
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Scienze sociali, diritto, economia > Economia > Economia politica; Epidemiology & medical statistics, SOCIAL SCIENCE / Research, MATHEMATICS / Probability & Statistics / General, MEDICAL / Biostatistics, MEDICAL / Epidemiology, SOCIAL SCIENCE / Statistics, BUSINESS & ECONOMICS / Econometrics, Economic statistics, Social research & statistics, Probability & statistics, Probability and statistics, Social research and statistics, Epidemiology and Medical statistics, Econometrics and economic statistics