Linear and Generalized Linear Mixed Models and Their Applications - Couverture souple

Livre 157 sur 160: Springer Series in Statistics

Jiang, Jiming; Nguyen, Thuan

 
9781071612842: Linear and Generalized Linear Mixed Models and Their Applications

Synopsis


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À propos de l?auteur

Jiming Jiang is Professor of Statistics and a former Director of Statistical Laboratory at the University of California, Davis. He is a prominent researcher in the fields of mixed effects models, small area estimation, model selection, and statistical genetics. He is the author of Large Sample Techniques for Statistics (Springer 2010), Robust Mixed Model Analysis (2019), Asymptotic Analysis of Mixed Effects Models: Theory, Applications, and Open Problems (2017), and The Fence Methods (with T. Nguyen, 2016). He has been editorial board member of The Annals of Statistics and Journal of the American Statistical Association, among others. He is a Fellow of the American Association for the Advancement of Science, the American Statistical Association, and the Institute of Mathematical Statistics; an elected member of the International Statistical Institute; and a Yangtze River Scholar (Chaired Professor, 2017-2020).

Thuan Nguyen is Associate Professor of Biostatistics in the School of Public Health at Oregon Health & Science University, where she teaches and advises graduate students. She is an active researcher in the field of biostatistics, specializing in the analysis of longitudinal data and statistical genetics, as well as small area estimation. She is the coauthor of The Fence Methods (with J. Jiang 2016).

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

Autres éditions populaires du même titre

9781071612811: Linear and Generalized Linear Mixed Models and Their Applications

Edition présentée

ISBN 10 :  1071612816 ISBN 13 :  9781071612811
Editeur : Springer-Verlag New York Inc., 2021
Couverture rigide