Nonparametric regression using locally weighted least squares was first discussed by Stone and by Cleveland. Recently, it was shown by Fan and by Fan and Gijbels that the local linear kernel-weighted ...

Multivariate cryptography relies on the inherent difficulty of solving systems of multivariate polynomial equations over finite fields, and it is regarded as one of the most promising candidates ...

On the basis of a sample of observations, an investigator wants to determine the appropriate degree of a polynomial in the index, say time, to represent the regression of the observable variable. This ...