Stochastic and deterministic models for agricultural production networks.
An approach to modeling the impact of disturbances in an agricultural production network is presented. A stochastic model and its approximate deterministic model for averages over sample paths of the stochastic system are developed. Simulations, sensitivity and generalized sensitivity analyses are given. Finally, it is shown how diseases may be introduced into the network and corresponding simulations are discussed.
Bai
P
P
Department of Statistics, University of North Carolina, Chapel Hill, NC, USA. pbai@email.unc.edu
Banks
H T
HT
Dediu
S
S
Govan
A Y
AY
Last
M
M
Lloyd
A L
AL
Nguyen
H K
HK
Olufsen
M S
MS
Rempala
G
G
Slenning
B D
BD
D000822:Animal Husbandry / Q000379:methods* / Q000458:organization & administration*; D000818:Animals; D000829:Animals, Domestic; D003198:Computer Simulation; D008954:Models, Biological; D017146:Models, Organizational; D015233:Models, Statistical; D013269:Stochastic Processes; D013552:Swine / Q000254:growth & development*