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Markovian processes with identifiable states: General considerations and application to all-or-none learning

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  • James Greeno
  • Theodore Steiner

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  • James Greeno & Theodore Steiner, 1964. "Markovian processes with identifiable states: General considerations and application to all-or-none learning," Psychometrika, Springer;The Psychometric Society, vol. 29(4), pages 309-333, December.
    • Handle: RePEc:spr:psycho:v:29:y:1964:i:4:p:309-333
    DOI: 10.1007/BF02289599
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    References listed on IDEAS

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    1. Gordon Bower, 1961. "Application of a model to paired-associate learning," Psychometrika, Springer;The Psychometric Society, vol. 26(3), pages 255-280, September.
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    Cited by:

    1. Theodore Steiner & James Greeno, 1969. "An analysis of some conditions for representingN state Markov processes as general all or none models," Psychometrika, Springer;The Psychometric Society, vol. 34(4), pages 461-487, December.
    2. Guy Groen, 1971. "Stochastic processes and the guttman simplex," Psychometrika, Springer;The Psychometric Society, vol. 36(3), pages 289-302, September.
    3. James Greeno, 1968. "Identifiability and statistical properties of two-stage learning with no successes in the initial stage," Psychometrika, Springer;The Psychometric Society, vol. 33(2), pages 173-215, June.
    4. James Greeno & Theodore Steiner, 1968. "Comments on “markovian processes with identifiable states: General considerations and applications to all-or-none learning”," Psychometrika, Springer;The Psychometric Society, vol. 33(2), pages 169-172, June.

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