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In the case of large-scale natural disasters, it is very important to determine emergency materials scheduling quickly and efficiently from multiple emergency logistics centers as supply point supplying to multiple disaster affected points. A mathematical model is constructed in this paper to minimize the latest emergency responding time and the number of(More)
This paper extends the partially linear varying coefficient model to contain time trend and nonstationary variables as regressors. We use the profile likelihood method to estimate both time trend coefficient in the linear component and the functional coefficients in the nonlinear component and establish their asymptotic distributions. Monte Carlo(More)
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