This paper simulates a dynamic traffic network by embedding an extra nonlinear delay function to represent traffic lights (or a similar regular delay) in each arc (or link), and it was shown that a late start driver may catch up with one who started earlier, subject only to the condition that...

Using small-disturbance expansions, we derive analytic expressions for the bias of the OLS estimator an elasticity in a linear model, both at an individual sample point and at the sample mean. The magnitudes of these biases are illustrated with Australian expenditure data.

With constant deepening of development outlook of urban and rural integration, education circle starts to attach great importance to reform of personnel training program. Since scarcity of land resource and key role of land management in urban and rural integration, it is urgent to optimize the...

With the development of the society, the undergraduates training modes of land resources management major have diversified developed. The land resources management majors in universities with different background have various features in China. Chongqing Technology and Business University was...

We examine the finite sample properties of the maximum likelihood estimator for the binary logit model with random covariates. Analytic expressions for the first-order bias and second-order mean squared error function for the maximum likelihood estimator in this model are derived, and we...

A two-sided Weibull is developed to model the conditional financial return distribution, for the purpose of forecasting Value at Risk (VaR) and conditional VaR. A range of conditional return distributions are combined with four volatility specifications to forecast tail risk in four...

Extreme Value Theory (EVT) measures the behaviour of extreme observations on a random variable. EVT in risk management, an approach to modelling and measuring risks under rare events, has taken on a prominent role in recent years. This article contributes to the literature in two respects by...

A two-sided Weibull is developed to model the conditional financial return distribution, for the purpose of forecasting Value at Risk (VaR) and conditional VaR. A range of conditional return distributions are combined with four volatility specifications to forecast tail risk in four...