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Matrix analysis of identifiability of some finite markov models

Author

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  • James Greeno
  • Richard Millward
  • Coleman Merryman

Abstract

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Suggested Citation

  • James Greeno & Richard Millward & Coleman Merryman, 1971. "Matrix analysis of identifiability of some finite markov models," Psychometrika, Springer;The Psychometric Society, vol. 36(4), pages 389-408, December.
    • Handle: RePEc:spr:psycho:v:36:y:1971:i:4:p:389-408
    DOI: 10.1007/BF02291365
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    References listed on IDEAS

    as
    1. Richard Millward, 1969. "Derivations of learning statistics from absorbing Markov chains," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 215-232, June.
    2. Harley Bernbach, 1966. "Derivation of learning process statistics for a general markov model," Psychometrika, Springer;The Psychometric Society, vol. 31(2), pages 225-234, June.
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    Citations

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    Cited by:

    1. Henry Halff, 1976. "Precriterion stationarity in markovian learning models," Psychometrika, Springer;The Psychometric Society, vol. 41(3), pages 301-320, September.
    2. Peter Polson & David Huizinga, 1974. "Statistical methods for absorbing Markov-chain models for learning: Estimation and identification," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 3-22, March.

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    1. Peter Polson, 1972. "Presolution performance functions for markov models," Psychometrika, Springer;The Psychometric Society, vol. 37(4), pages 453-459, December.
    2. Peter Polson & David Huizinga, 1974. "Statistical methods for absorbing Markov-chain models for learning: Estimation and identification," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 3-22, March.
    3. Richard Millward, 1969. "Derivations of learning statistics from absorbing Markov chains," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 215-232, June.

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