Some generalized stochastic compartment models for digesta flow /

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:
Compartmental analysis (Biology)
Stochastic processes.
Mixture distributions (Probability theory)
Digestion > Mathematical models.
Digestion > Statistical methods.
Livestock > Metabolism > Mathematical models.
Livestock > Metabolism > Statistical methods.
Mathematical statistics.
Compartment models
Linear compartment theory
Heterogeneous particles
Nonexponential retention times

Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)

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Call Number: QA276.A12 T4 no.88-10
 
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