Technometrics articles

Recent articles from Technometrics

A new statistic for influence in linear regression.
February 1, 2005... Since the seminal article by Cook, the usual way to measure the influence of an observation in a statistical model is to delete the observation from the sample and compute a convenient norm of the change in the parameters or in the vector of forecasts. In this article we define a new way to...

Multidimensional penalized signal regression.
February 1, 2005... We propose a general approach to regression on digitized multidimensional signals that can pose severe challenges to standard statistical methods. The main contribution of this work is to build a two-dimensional coefficient surface that allows for interaction across the indexing plane of the...

A Bayesian approach for predicting with polynomial regression of unknown degree.
February 1, 2005... This article compares three methods for computing the posterior probabilities of the possible orders in polynomial regression models. These posterior probabilities are used for forecasting using Bayesian model averaging. It is shown that Bayesian model averaging provides a closer relationship...

Modified semiparametric maximum likelihood estimator in linear regression analysis with complete data or right-censored data.
February 1, 2005... Consider a linear regression model where the response variable may be right-censored. The standard maximum likelihood estimator (MLE)-based parametric approach to estimation of regression coefficients requires that the parametric form of the error distribution be known. Given a dataset, we...

Variable selection for 1D regression models.
February 1, 2005... Variable selection, the search for j relevant predictor variables from a group of p candidates, is a standard problem in regression analysis. The class of 1D regression models is a broad class that includes generalized linear models. We show that existing variable selection algorithms,...