摘要:

STAT (Version 5.3). Available from Gary Perlman, Department of Computer and Information Science, Ohio State University, Columbus, OH 43210. $20 for UNIX C source and on-line documents; $15 for MS-DOS executables and on-line documents; $10 for 100-page manual. Reviewed by Michael Conlon

ISSN:0003-1305    

DOI:10.1080/00031305.1989.10475650

出版商:Taylor & Francis Group    

年代:1989

数据来源: Taylor

摘要:

Most social science descriptions of the statistical regression effect envision the effect as occurring toward the population mean. If individuals that initially had extreme values regress back toward the mean on subsequent observations, then as a corollary individuals who were at the population mean initially are expected tostayat the population mean. Both the regression to the mean statement and its corollary are generally false for models exhibiting a regression effect. For commonly used probability mixture models, conditional expectations of subsequent observations based on previous observations regress not to the mean, but to some other value. Examples are presented using mixtures of normal, Poisson, and binomial random variables.

ISSN:0003-1305    

DOI:10.1080/00031305.1989.10475651

出版商:Taylor & Francis Group    

年代:1989

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1989.10475652

出版商:Taylor & Francis Group    

年代:1989

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1989.10475653

出版商:Taylor & Francis Group    

年代:1989

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1989.10475654

出版商:Taylor & Francis Group    

年代:1989

数据来源: Taylor

摘要:

This article has no abstract

ISSN:0003-1305    

DOI:10.1080/00031305.1989.10475639

出版商:Taylor & Francis Group    

年代:1989

数据来源: Taylor