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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...
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Published in: | Psychometrika 1953-09, Vol.18 (3), p.241-243 |
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Main Author: | |
Format: | Article |
Language: | English |
Citations: | Items that cite this one |
Online Access: | Get full text |
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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 ”. |
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ISSN: | 0033-3123 1860-0980 |
DOI: | 10.1007/BF02289061 |