Reliability Analysis Based on Stochastic Model of Business Cycle

A stochastic model of business cycle was presented in this paper. The Ito diffusion process was obtained after the model was simplified in quasi Hamiltonian theory. The backward Kolmogorov equation for reliability function and the generalized Pontryagin equation for conditional moment of the first-p...

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Bibliographic Details
Published in2008 IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE) pp. 1 - 3
Main Authors Hongchen Han, Hongli Wang, Jia Xu, Zhiwen Zhu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2008
Subjects
Diffusion processes
Engineering management
Equations
Gaussian noise
Indium tin oxide
Investments
Stochastic processes
Stochastic resonance
Stochastic systems
White noise
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Summary:A stochastic model of business cycle was presented in this paper. The Ito diffusion process was obtained after the model was simplified in quasi Hamiltonian theory. The backward Kolmogorov equation for reliability function and the generalized Pontryagin equation for conditional moment of the first-passage time were established, and the numerical results were given in virtue of figures according to the classification of boundary conditions and initial conditions of the two equations. Finally, the influence of parameters on the first-passage problem was analyzed.
ISBN:9781424436941
142443694X
DOI:10.1109/AMIGE.2008.ECP.69