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Theory and Methods - Comment - Inconsistency of Resampling Algorithms for High-Breakdown Regression Estimators and a New Algorithm

Ruppert, David - In: Journal of the American Statistical Association : JASA 97 (2002) 457, pp. 148

Persistent link: https://www.econbiz.de/10006617678

Theory and Methods - Comment - Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior

Brumback, Babette A.; Ruppert, David; Wand, M.P. - In: Journal of the American Statistical Association : JASA 94 (1999) 447, pp. 794-797

Persistent link: https://www.econbiz.de/10006626505

Theory and Methods - Comment - Regression Depth

Carroll, Raymond J.; Ruppert, David; Stefanski, Leonard A. - In: Journal of the American Statistical Association : JASA 94 (1999) 446, pp. 410

Persistent link: https://www.econbiz.de/10006626736

A Fully Automated Bandwidth Selection Method for Fitting Additive Models

Opsomer, Jean D.; Ruppert, David - In: Journal of the American Statistical Association : JASA 93 (1998) 442, pp. 605-619

Persistent link: https://www.econbiz.de/10006628862

Local Estimating Equations

Carroll, Raymond J.; Ruppert, David; Welsh, Alan H. - In: Journal of the American Statistical Association : JASA 93 (1998) 441, pp. 214-227

Persistent link: https://www.econbiz.de/10006629303

Empirical-Bias Bandwidths for Local Polynomial Nonparametric Regression and Density Estimation

Ruppert, David - In: Journal of the American Statistical Association : JASA 92 (1997) 439, pp. 1049-1062

Persistent link: https://www.econbiz.de/10006630198

Nonparametric Estimation of the Transformation in the Transform-Both-Sides Regression Model

Wang, Naisyin; Ruppert, David - In: Journal of the American Statistical Association : JASA 90 (1995) 430, pp. 522-534

Persistent link: https://www.econbiz.de/10006634724

ARTICLES - Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming

Chen, Victoria C.P.; Ruppert, David; Shoemaker, Christine A. - In: Operations research : the journal of the Operations … 47 (1999) 1, pp. 38-53

Persistent link: https://www.econbiz.de/10006419685

Likelihood ratio tests for goodness-of-fit of a nonlinear regression model

Crainiceanu, Ciprian M.; Ruppert, David - In: Journal of Multivariate Analysis 91 (2004) 1, pp. 35-52

We propose likelihood and restricted likelihood ratio tests for goodness-of-fit of nonlinear regression. The first-order Taylor approximation around the MLE of the regression parameters is used to approximate the null hypothesis and the alternative is modeled nonparametrically using penalized...

Persistent link: https://www.econbiz.de/10005021311

Nonlinear and Nonparametric Regression and Instrumental Variables

Carroll, Raymond J.; Ruppert, David; Crainiceanu, Ciprian M. - In: Journal of the American Statistical Association 99 (2004) 1, pp. 736-750

Persistent link: https://www.econbiz.de/10005734091