Loading…

Note on Miller's “Finite Markov Processes in Psychology”

In his article “Finite Markov Processes in Psychology,” G. A. Miller derived a least-squares “estimate” for a matrix of transitional probabilities. However, the mathematical proof is found to be invalid. On page 158, Miller defined by the equation = N + C , “where the elements of the matrix C are th...

Full description

Saved in:
Bibliographic Details
Published in:Psychometrika 1953-09, Vol.18 (3), p.241-243
Main Author: Kao, Richard C. W.
Format: Article
Language:English
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In his article “Finite Markov Processes in Psychology,” G. A. Miller derived a least-squares “estimate” for a matrix of transitional probabilities. However, the mathematical proof is found to be invalid. On page 158, Miller defined by the equation = N + C , “where the elements of the matrix C are the corrections that must be added to the observed values in N to give the best estimate ”.
ISSN:0033-3123
1860-0980
DOI:10.1007/BF02289061