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Notes: A Continuous-Time Markov Chain for Early Selections

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A discrete stepwise Markov chain for predicting relative performance of early selections at time of harvest is transformed into a continuous-time Markov chain by a simple transformation to a canonical form. Asymptotic predictions for t → ∞ are made possible. Prediction errors are derived from an autoregressive scheme and assumptions of multinominal one-step ahead errors. For. Sci. 39(4):845-850.

Keywords: Eigenvalues; asymptotic predictions; errors; predictions; size distribution; steady state

Document Type: Miscellaneous

Affiliations: Canadian Forest Service, Chalk River, Ontario, Canada K0J1J0

Publication date: November 1, 1993

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