Some generalized stochastic compartment models for digesta flow /

Digesta flow models have been based on linear compartment theory which assumes exponential retention times, and on a generalized theory which incorporates nonexponential (Erlang) retention times. (Matis, 1987, J. theo. Biology). This paper develops a new family of passage models for heterogeneous di...

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Bibliographic Details
Main Authors: Matis, James H. (Author), Wehrly, Thomas E., 1947- (Author), Ellis, William C. (Author)
Format: Book
Language:English
Published: College Station, Texas : Department of Statistics, Texas A & M University, [1988]
Series:Technical report (Texas A & M University. Department of Statistics) ; no. 88-10.
Subjects:
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Summary:Digesta flow models have been based on linear compartment theory which assumes exponential retention times, and on a generalized theory which incorporates nonexponential (Erlang) retention times. (Matis, 1987, J. theo. Biology). This paper develops a new family of passage models for heterogeneous digesta by mixing the previous models with assumed parametric, usually gamma, mixing distributions. The utility of the resulting models is demonstrated with experimental data on two treatments, namely a chopped and a ground straw, given to each of four cows. Treatment differences are apparent in the preferred model form and in the means of the estimated mean residence times. The models are relatively easy to fit to data using standard estimation procedures, and they should have broad application to other compartment modeling problems with "heterogeneous particles."
Item Description:Offprint: Biometrics.
Physical Description:25 leaves, 3 unnumbered leaves : illustrations ; 28 cm
Bibliography:Includes bibliographical references (leaves 19-21).