An analysis of some conditions for representingN state Markov processes as general all or none models
No abstract is available for this item.
Volume (Year): 34 (1969)
Issue (Month): 4 (December)
|Contact details of provider:|| Web page: http://www.springer.com|
Web page: https://www.psychometricsociety.org/
|Order Information:||Web: http://www.springer.com/psychology/journal/11336/PS2|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:34:y:1969:i:4:p:461-487. See general information about how to correct material in RePEc.
If references are entirely missing, you can add them using this form.