We consider the problem of nonparametric regression when the covariate is d dimensional, where d ≥ 1. In this paper, we introduce and study two non-parametric least squares estimators (LSEs) in this ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 61, No. 2 (1999), pp. 459-477 (19 pages) Estimating equations based on marginal generalized linear models are useful ...

Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...