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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

Theory and Methods - Comment - Maximization by Parts in Likelihood Inference

Ruppert, David - In: Journal of the American Statistical Association : JASA 100 (2005) 472, pp. 1161-1163

Persistent link: https://www.econbiz.de/10006605499

Theory and Methods - Nonlinear and Nonparametric Regression and Instrumental Variables

Carroll, Raymond J.; Ruppert, David; Crainiceanu, Ciprian M. - In: Journal of the American Statistical Association : JASA 99 (2004) 467, pp. 736-750

Persistent link: https://www.econbiz.de/10006608858

Applications and Case Studies - Estimating the Interest Rate Term Structure of Corporate Debt With a Semiparametric Penalized Spline Model

Jarrow, Robert; Ruppert, David; Yu, Yan - In: Journal of the American Statistical Association : JASA 99 (2004) 465, pp. 57-66

Persistent link: https://www.econbiz.de/10006610282

Reviews

Keating, Michael; Chavas, Jean-Paul; Lengwiler, Yvan; … - In: The economic record : er 81 (2005) 254, pp. 292

Persistent link: https://www.econbiz.de/10005880363

Functional autoregression for sparsely sampled data

Kowal, Daniel R.; Matteson, David S.; Ruppert, David - In: Journal of business & economic statistics : JBES ; a … 37 (2019) 1, pp. 97-109

Persistent link: https://www.econbiz.de/10012176502

Theory and Methods - Penalized Spline Estimation for Partially Linear Single-Index Models

Yu, Yan; Ruppert, David - In: Journal of the American Statistical Association : JASA 97 (2002) 460, pp. 1042-1054

Persistent link: https://www.econbiz.de/10006614784

Theory and Methods - Bayesian Smoothing and Regression Splines for Measurement Error Problems

Berry, Scott M.; Carroll, Raymond J.; Ruppert, David - In: Journal of the American Statistical Association : JASA 97 (2002) 457, pp. 160-169

Persistent link: https://www.econbiz.de/10006617673

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