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Highly Cited

2015

Highly Cited

2015

We present a learned model of human body shape and pose-dependent shape variation that is more accurate than previous models and… Expand

Highly Cited

2014

Highly Cited

2014

This chapter provides a brief and relatively nontechnical introduction to hierarchical linear models. The purpose of such models… Expand

Highly Cited

2006

Highly Cited

2006

One of the first (conceptual) frameworks developed for understanding the relation of science and technology to the economy has… Expand

Highly Cited

2005

Highly Cited

2005

INTRODUCTION BINOMIAL DATA Challenger Disaster Example Binomial Regression Model Inference Tolerance Distribution Interpreting… Expand

Review

2001

Review

2001

Introduction * General Aspects of Fitting Regression Models * Missing Data * Multivariable Modeling Strategies * Resampling… Expand

Highly Cited

2000

Highly Cited

2000

In the last ten years, there has been increasing interest and activity in the general area of partially linear regression… Expand

Highly Cited

1997

Highly Cited

1997

In the problem of selecting a linear model to approximate the true un- known regression model, some necessary and/or sufficient… Expand

Highly Cited

1993

Highly Cited

1993

Abstract We consider the problem of selecting a model having the best predictive ability among a class of linear models. The… Expand

Highly Cited

1988

Highly Cited

1988

On considere deux methodes d'estimation: l'une reliee aux splines de lissage partiels, l'autre motivee par une analyse de residus… Expand

Highly Cited

1976

Highly Cited

1976

In this book, Franklin A. Graybill integrates the linear statistical model within the context of analysis of variance… Expand