Open AccessROUND ROBIN ANALYSIS OF VARIANCE VIA MAXIMUM LIKELIHOOD
Author(s) -
Wong George Y.
Publication year - 1981
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.1981.tb01279.x
Subject(s) - reciprocity (cultural anthropology) , mathematics , data set , variance (accounting) , set (abstract data type) , maximum likelihood , random effects model , linear model , restricted maximum likelihood , statistics , computer science , fixed effects model , class (philosophy) , panel data , meta analysis , artificial intelligence , psychology , social psychology , medicine , accounting , business , programming language
We consider a class of linear models called round robin models which deal specifically with data arising in the interaction of a group of individuals in a round robin setting. Such models provide information not only about individual differences but also about the reciprocity behavior of the interaction partners. We provide a convergent algorithm for computing the maximum likelihood estimates of the variances and covariances associated with these models. Also, we discuss interval estimation of the linear effects, including fixed and random effects. We present a detailed data analysis on a set of speech activity data using these designs.