Publicaciones destacadas

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1) González-Manteiga, W. and Crujeiras, R. (2013). "An updated review of Goodness-of-Fit tests for regression models". TEST. 22. pp. 361-447. Springer Verlag. ISSN: 1133-0686 Google Scholar

Invited paper: This is the first paper with a general review in the topic of goodness-of-fit for regression models. This paper was invited by the journal TEST with six discussants with big experience in the fields. Abstract

2) Inácio, V., González-Manteiga, W., Febrero-Bande, M., F Gude, Alonzo, T.A., Cadarso Suárez, Carmen María (2012). "Extending induced ROC methodology to the functional context". Biostatistics. 13 (4). pp. 594-608. Oxford Journals. ISSN: 1465-4644 Google Scholar

This is the only paper up to now with the study of the ROC curves with functional covariates. Abstract

3) González-Manteiga, W., Pardo Fernández, Juan Carlos, Van Keilegom, I. (2011). "ROC curves in nonparametric location-scale regression models". Scandinavian Journal of Statistics. 38. pp. 169-184. Wiley-Blackwell Publishing, Inc. ISSN: 0303-6898 Google Scholar

The first published paper analyzing the empirical process for ROC CURVES WITH COVARIABLES. Abstract

4) Cao, R., González-Manteiga, W. (2008). "Goodness-of-fit tests for conditional models under censoring and truncation". Journal of Econometrics. 143, 166-190. Elsevier Science Sa. ISSN: 0304-4076 Google Scholar

A general theory for testing with censored and truncated data. Abstract

5) Aneiros Pérez, German, González-Manteiga, W., Vieu, Philippe (2004). "Estimation and testing in a partial linear regression model under long memory dependence". Bernoulli. 10. pp. 49-78. Int Statistical Inst. ISSN: 1350-7265 Google Scholar

One of the few papers in goodness of fit for regression models with long memory. Abstract

6) González-Manteiga, W., Delgado González, Miguel A. (2001). "Significance testing in nonparametric regression based on the bootstrap". Annals of Statistics. 29 (5). pp. 1469-1507. Inst Mathematical Statistics. ISSN: 0090-5364 Google Scholar

A general theory for testing different semiparametric models. Abstract

7) González-Manteiga, W., Ramil Novo, L. A. (2000). "F tests and regression analysis of variance based on smoothing spline estimators". Statistica Sinica. 10, 3. pp. 819-837. Statistica Sinica. ISSN: 1017-0405 Google Scholar

One of the first papers in nonparametric analysis of variance. Abstract

8) Presedo Quindimil, Manuel Antonio, Stute, W., González-Manteiga, W. (1998). "Bootstrap approximations in model checks for regression". Journal of the American Statistical Association. 93, 441. Amer Statistical Assoc. ISSN: 0162-1459 Google Scholar

A hot paper. A lot of times cited. One of the first papers using "Wild Bootstrap" for calibration goodness of fit test for regression models. Abstract

9) González-Manteiga, W., Cao, R., Marrón, J. Steve (1996). "Bootstrap selection of the smoothing parameter in nonparametric hazard rate estimation". Journal of the American Statistical Association. 91,435. pp. 1130-1140. Amer Statistical Assoc. ISSN: 0162-1459 Google Scholar

One of the first papers using boostsrap to select bandwidths in curve estimation. Abstract

10) González-Manteiga, W., García-Jurado, I., Cao, R., Febrero-Bande, M., Prada-Sánchez, J. M. (1995). "Prediction using Box-Jenkins, nonparametric and bootstrap techniques". Technometrics. 37, 3. pp. 303-310. Amer Statistical Assoc. ISSN: 0040-1706 Google Scholar

An important semiparametric model for the prediction in environmental sciences. Abstract

11) González-Manteiga, W., Cao, R., Cuevas, A. (1994). "A Comparative Study of Several Smoothing Methods in Density Estimation". Computational Statistics & Data Analysis. 17. pp. 153-176. Elsevier Science Bv. ISSN: 0167-9473 Google Scholar

A very cited paper. A big revision on bandwidth selection in density estimation. Abstract

12) González-Manteiga, W., Faraldo Roca, Pedro, Cristóbal Cristóbal, José Antonio (1987). "A class of linear regression parameter estimators constructed by nonparametric estimation". Annals of Statistics. 15,2. pp. 603-610. Inst Mathematical Statistics. ISSN: 0090-5364 %22">Google Scholar

One of the first papers in to combine nonparametric and parametric inference. Abstract

 
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