Markov Chain Model for Sequences of Field Workdays

Hayhoe, H.; Baier, W.

Canadian Journal of Soil Science 54(2): 137-148


ISSN/ISBN: 0008-4271
DOI: 10.4141/cjss74-020
Accession: 068494827

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A computer program was written to estimate from sequential data the parameters for a Markov chain probability model. The program was applied to the analysis of field workday probabilities at 10 selected locations across Canada. The suitability of the first-order Markov chain model was tested and the locations across Canada were compared as to the probability and conditional probabilities of workdays. These probabilities estimated by the program also provide data which should be of interest in farm machinery selection.