Likelihood methods for testing group problem solving models with censored data |
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Authors: | Ronald R. Regal Kinley Larntz |
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Affiliation: | (1) Present address: the Department of Mathematics, State University of New York at Albany, Albany, New York;(2) Department of Applied Statistics, University of Minnesota, 352 Classroom Office Building, 1994 Buford Avenue, 55108 St. Paul, MN |
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Abstract: | Problem solving models relating individual and group solution times under time limit censoring are presented. Maximum likelihood estimates of parameters of the resulting censored distributions are derived and goodness of fit tests for the individual-group models are constructed. The methods are illustrated on data previously analyzed by Restle and Davis.This research was supported by grants from the Graduate School, University of Minnesota. Also, work of the second author was aided by a Single Quarter Leave granted by the Regents of the University of Minnesota. |
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Keywords: | maximum likelihood goodness of fit tests |
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