Starting with the normalized quadratic expenditure function, linear and quadratic spline models are introduced theoretically and are empirically estimated using Japanese consumer data for four goods ...

Annie Qu, Bruce G. Lindsay, Bing Li, Improving Generalised Estimating Equations Using Quadratic Inference Functions, Biometrika, Vol. 87, No. 4 (Dec., 2000), pp. 823-836 ...

For this purpose, the yield is modeled as a function of the N application. The regression analysis provides an estimate of the modeled function and thus also an estimate of the economic optimum, Nopt.

A new idea to improve the performance of neural networks in modelling is presented in this paper. As the networks obtain their knowledge through learning process, it can be influenced through stronger ...

The impact of parameter variations on timing due to process variations has become significant in recent years. In this paper, we present a statistical timing analysis (STA) framework with quadratic ...

The examples span a wide cross-section of models from early one-factor models of Vasicek to more recent interest rate models with stochastic volatility, random intensity jump-diffusions and ...