Articles liés à Statistical Modelling by Exponential Families

Statistical Modelling by Exponential Families - Couverture rigide

Livre 11 sur 15: Institute of Mathematical Statistics Textbooks

Sundberg, Rolf

 
9781108476591: Statistical Modelling by Exponential Families
Couverture rigide
ISBN 10 : 1108476597 ISBN 13 : 9781108476591
Editeur : Cambridge University Press, 2019

Synopsis

This book is a readable, digestible introduction to exponential families, encompassing statistical models based on the most useful distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it presents the essential theory and then demonstrates the theory's practical potential by connecting it with developments in areas like item response analysis, social network models, conditional independence and latent variable structures, and point process models. Extensions to incomplete data models and generalized linear models are also included. In addition, the author gives a concise account of the philosophy of Per Martin-Löf in order to connect statistical modelling with ideas in statistical physics, including Boltzmann's law. Written for graduate students and researchers with a background in basic statistical inference, the book includes a vast set of examples demonstrating models for applications and exercises embedded within the text as well as at the ends of chapters.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Rolf Sundberg is Professor Emeritus of Statistical Science at Stockholms Universitet. His work embraces both theoretical and applied statistics, including principles of statistics, exponential families, regression, chemometrics, stereology, survey sampling inference, molecular biology, and paleoclimatology. In 2003, with M. Linder, he won the award for best theoretical paper in the Journal of Chemometrics for their work on multivariate calibration, and in 2017 he was named Statistician of the Year by the Swedish Statistical Society.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Cambridge University Press
Date d'édition
2019
Langue
anglais
ISBN 10 
1108476597
ISBN 13 
9781108476591
Reliure
Relié
Nombre de pages
296
Coordonnées du fabricant
non disponible
Personne responsable
Avery
https://www.avery.fr/

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