Abstract
In this paper we use marginal probabilities to derive expressions for the means, variances and covariances ofm-compartment systems. We also present an efficient algorithm for the estimation of the parameters of the system using time series data when measurements are available fromk of them compartments. An application of the analysis and parameter estimation procedure for a model representing the results of a cancer treatment follow-up study is given.
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Supported in part by NSF Grant Number DCR74-17282.
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El-Asfouri, S., McInnis, B.C. & Kapadia, A.S. Stochastic compartmental modeling and parameter estimation with application to cancer treatment follow-up studies. Bltn Mathcal Biology 41, 203–215 (1979). https://doi.org/10.1007/BF02460879
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DOI: https://doi.org/10.1007/BF02460879