Factor structures or interactive effects are convenient devices to incorporate latent variables in panel data models. We consider fixed effect estimation of nonlinear single-index models with factor the unobservables, which include logit, probit, ordered probit and Poisson specifications. establish that estimators model parameters average partial have normal distributions when two dimensions gr...

The wavelet network 22, 23] has been introduced as a special feedforward neural network supported by the wavelet theory. Such network can be directly used in function approximation problems, and consequently can be applied to nonlinear system modeling by means of nonlinear black-box identiication. In this paper the construction of feedforward neural networks is discussed from both identiication...

Abstract Neural network methods are widely used in business problems for prediction, clustering, and risk management to improving customer satisfaction outcome. The ability of a neural learn complex nonlinear relationship is due its architecture that uses weight parameters transform input data within the hidden layers. Such perform well many situations where ordering inputs simple. However, reo...