The process of using past cost information to predict future costs is called cost estimation. While many methods are used for cost estimation, the least-squares regression method of cost estimation is ...

In this article, we consider a general multivariate nonlinear regression setting in which the marginal mean and variance-covariance structure share a common set of regression parameters. Estimation is ...

Local least squares kernel regression provides an appealing solution to the nonparametric regression, or "scatterplot smoothing," problem, as demonstrated by Fan, for example. The practical ...