Regression estimates of stochastic compartmental parameters using net balance and cumulative flow data

DOI10.1016/0096-3003(89)90016-7zbMath0665.92016OpenAlexW1988335213MaRDI QIDQ1116913

Richard L. Patterson

Publication date: 1989

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2027.42/28070

zbMATH Keywords

absorbing statesregression modeldiscrete populationcompartmental networkcompartmental transfer probabilitiesexpected cumulative flowsexpected net balancesimmigration intensitiesrandom (Poisson) immigrationresidence time distributions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics (62P99) Population dynamics (general) (92D25)

Related Items (1)

A numerical model for tracking populations through a time-dependent stochastic network

Cites Work

• Regression estimates of inputs to an M(t)/G/\(\infty\) service system
• Statistical distributions of compartmentalized populations governed by continuous time, discrete state semi-Markov processes

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