首页 | 本学科首页   官方微博 | 高级检索  
     


Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach
Affiliation:1. Departamento de Estadística, Facultad de Ciencias Físicas y Matemáticas, Universidad de Concepción, Concepción, Chile;2. Departamento de Estatística, IMECC, Universidade Estadual de Campinas, Campinas, Sao Paulo, Brazil;3. Departamento de Estadística, Facultad de Matemática, Pontificia Universidad Católica de Chile, Santiago 22, Chile;1. Laboratoire de Mathématiques Appliquées de Compiègne-L.M.A.C., Université de Technologie de Compiègne, B.P. 529, 60205 Compiègne Cedex, France;2. L.S.T.A., Université Pierre et Marie Curie, 4 place Jussieu, 75252 Paris Cedex 05, France;1. SAS Institute Inc., 100 SAS Campus Drive, Cary, NC 27513, United States;2. Department of Statistics, George Washington University, Washington, DC, 20052, United States;1. School of Automation, Guangdong University of Technology, Guangzhou 510006, Guangdong, China;2. Guangzhou Power Supply Bureau Co., Ltd, Guangzhou 510620, Guangdong, China;1. University of Tizi-Ouzou, Algeria;2. LAMOS, Laboratory of Modeling and Optimization of Systems, University of Béjaïa, Algeria;1. College of Mathematics and Statistics, Guizhou University, Guiyang, Guizhou Province, 550025, PR China;2. College of Mathematics and Statistics, Chongqing University, Chongqing, 401331, PR China;3. College of Science, Huazhong Agricultural University, Wuhan, Hubei Province, 430070, PR China
Abstract:
Keywords:Bayesian modeling  Censored regression models  Nonlinear regression model  Scale mixtures of normal distributions
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号