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Started by Jeffrey Horn
Tue, 21 Jul 1992 17:56
Best Subset with Non-Divisible Y-data
Author: Jeffrey Horn
Date: Tue, 21 Jul 1992 17:56
Date: Tue, 21 Jul 1992 17:56
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1192 bytes
I would like to do similar analysis to a "best subset search" for regression models (methods include regression by leaps and bounds, forward/backward selection, all subsets, etc.) for which is "non-divisible". By this I mean that one can rank the values of the independent and/or dependent variables from 1 to N, but a ranking of 2 is NOT TWICE BIG AS A ONE, etc. Some of the models I am looking at actually have mixtures of divisible and non-divisible independent variables. I am also looking at models in which the dependent variable is either non-divisible or divisible. I want to find something analogous to regression for these kinds of models. I am sure that any method that can be dug up will be less powerful than regression. Is there any method to handle such models? Jeff Horn
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