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Pedro Delicado

Personal Details

First Name:Pedro
Middle Name:
Last Name:Delicado
Suffix:
RePEc Short-ID:pde192
[This author has chosen not to make the email address public]
http://www-eio.upc.es/~delicado/

Affiliation

Universitat Politècnica de Catalunya

http://www.upc.edu
Spain, Barcelona

Research output

as
Jump to: Working papers Articles

Working papers

  1. Eva Boj & Pedro Delicado & Josep Fortiana & Anna Esteve & Adria Caballe, 2012. "Local Distance-Based Generalized Linear Models using the dbstats package for R," Working Papers XREAP2012-11, Xarxa de Referència en Economia Aplicada (XREAP), revised May 2012.
  2. Frederic Udina & Pedro Delicado, 2001. "Estimating parliamentary composition through electoral polls," Economics Working Papers 562, Department of Economics and Business, Universitat Pompeu Fabra.
  3. Estanislao Arana & Pedro Delicado & Luis Martí, 1999. "Validation procedures in radiological diagnostic models. Neural network and logistic regression," Economics Working Papers 414, Department of Economics and Business, Universitat Pompeu Fabra.
  4. Pedro Delicado & Manuel del Río, 1999. "A generalization of histogram type estimators," Economics Working Papers 422, Department of Economics and Business, Universitat Pompeu Fabra.
  5. Pedro Delicado, 1998. "Principal curves and principal oriented points," Economics Working Papers 309, Department of Economics and Business, Universitat Pompeu Fabra.
  6. Pedro Delicado & Juan Romo, 1998. "Constant coefficient tests for random coefficient regression," Economics Working Papers 329, Department of Economics and Business, Universitat Pompeu Fabra.
  7. Pedro Delicado, 1998. "Statistics in archaeology: New directions," Economics Working Papers 310, Department of Economics and Business, Universitat Pompeu Fabra.
  8. Pedro Delicado & Ana Justel, 1997. "Forecasting with missing data: Application to a real case," Economics Working Papers 213, Department of Economics and Business, Universitat Pompeu Fabra.
  9. Pedro Delicado & Iolanda Placencia, 1997. "Comparing and validating hypothesis test procedures: Graphical and numerical tools," Economics Working Papers 210, Department of Economics and Business, Universitat Pompeu Fabra.
  10. Pedro Delicado & Fidel Castro & Jose M. Da Rocha, 1997. "Seeking theta's desperately: Estimating the distribution of consumers under increasing block rates," Economics Working Papers 250, Department of Economics and Business, Universitat Pompeu Fabra.
  11. Castro Rodríguez, Fidel & Delicado, Pedro & Rocha, José M. da, 1996. "Buscando (tipos de consumidores)desesperadamente," DE - Documentos de Trabajo. Economía. DE 3377, Universidad Carlos III de Madrid. Departamento de Economía.
  12. Pedro Delicado & Manuel del Rio, 1996. "Weighted Kernel regression," Economics Working Papers 164, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 1997.
  13. Delicado, Pedro & Romo, Juan, 1995. "Random coefficient regressions: parametric goodness of fit tests," DES - Working Papers. Statistics and Econometrics. WS 4199, Universidad Carlos III de Madrid. Departamento de Estadística.
  14. Delicado, Pedro, 1995. "Predicción con datos faltantes: aplicación a un caso real," DES - Documentos de Trabajo. Estadística y Econometría. DS 3583, Universidad Carlos III de Madrid. Departamento de Estadística.
  15. Delicado, Pedro & Romo, Juan, 1994. "Goodness of fit tests in random coefficient regression models," DES - Working Papers. Statistics and Econometrics. WS 3962, Universidad Carlos III de Madrid. Departamento de Estadística.
  16. Delicado, Pedro, 1994. "Using boostrap to derive a prior distribution," DES - Working Papers. Statistics and Econometrics. WS 10719, Universidad Carlos III de Madrid. Departamento de Estadística.
  17. Delicado, Pedro & Río, Manuel del, 1993. "Bootstraping the general linear hypothesis test," DES - Working Papers. Statistics and Econometrics. WS 3702, Universidad Carlos III de Madrid. Departamento de Estadística.
  18. Delicado, Pedro, 1992. "NOPARAM: estimacion funcional no-parametrica, un acercamiento del software CURVDAT al usuario," DE - Documentos de Trabajo. Economía. DE 10952, Universidad Carlos III de Madrid. Departamento de Economía.

Articles

  1. Pedro Delicado & Philippe Vieu, 2017. "Choosing the most relevant level sets for depicting a sample of densities," Computational Statistics, Springer, vol. 32(3), pages 1083-1113, September.
  2. Kehui Chen & Pedro Delicado & Hans-Georg Müller, 2017. "Modelling function-valued stochastic processes, with applications to fertility dynamics," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(1), pages 177-196, January.
  3. Eva Boj & Adrià Caballé & Pedro Delicado & Anna Esteve & Josep Fortiana, 2016. "Global and local distance-based generalized linear models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 170-195, March.
  4. Pedro Delicado, 2015. "Discussion of “Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan” by Piercesare Secchi, Simone Vantini and Valeria Vitelli," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(2), pages 329-333, July.
  5. Delicado, Pedro & Vieu, Philippe, 2015. "Optimal level sets for bivariate density representation," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 1-18.
  6. R. Giraldo & P. Delicado & J. Mateu, 2012. "Hierarchical clustering of spatially correlated functional data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(4), pages 403-421, November.
  7. C. Comas & P. Delicado & J. Mateu, 2011. "A second order approach to analyse spatial point patterns with functional marks," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 503-523, November.
  8. Delicado, P., 2011. "Dimensionality reduction when data are density functions," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 401-420, January.
  9. Gonzalez, Juan R. & Peña, Edsel A. & Delicado, Pedro, 2010. "Confidence intervals for median survival time with recurrent event data," Computational Statistics & Data Analysis, Elsevier, vol. 54(1), pages 78-89, January.
  10. Boj, Eva & Delicado, Pedro & Fortiana, Josep, 2010. "Distance-based local linear regression for functional predictors," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 429-437, February.
  11. Delicado, P. & Goria, M.N., 2008. "A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1661-1673, January.
  12. Pedro Delicado, 2007. "Functional k-sample problem when data are density functions," Computational Statistics, Springer, vol. 22(3), pages 391-410, September.
  13. Pedro Delicado, 2006. "Local likelihood density estimation based on smooth truncation," Biometrika, Biometrika Trust, vol. 93(2), pages 472-480, June.
  14. Frederic Udina & Pedro Delicado, 2005. "Estimating Parliamentary composition through electoral polls," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 387-399.
  15. Castro-Rodriguez, Fidel & Da-Rocha, Jose Maria & Delicado, Pedro, 2002. "Desperately Seeking Theta's: Estimating the Distribution of Consumers under Increasing Block Rates," Journal of Regulatory Economics, Springer, vol. 22(1), pages 29-58, July.
  16. Delicado, Pedro, 2001. "Another Look at Principal Curves and Surfaces," Journal of Multivariate Analysis, Elsevier, vol. 77(1), pages 84-116, April.
  17. Pedro Delicado & Juan Romo, 1999. "Goodness of Fit Tests in Random Coefficient Regression Models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 51(1), pages 125-148, March.
  18. Delicado, Pedro & del Rio, Manuel, 1994. "Bootstrapping the general linear hypothesis test," Computational Statistics & Data Analysis, Elsevier, vol. 18(3), pages 305-316, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Eva Boj & Pedro Delicado & Josep Fortiana & Anna Esteve & Adria Caballe, 2012. "Local Distance-Based Generalized Linear Models using the dbstats package for R," Working Papers XREAP2012-11, Xarxa de Referència en Economia Aplicada (XREAP), revised May 2012.

    Cited by:

    1. Catalina Bolancé & Zuhair Bahraoui & Ramon Alemany, 2015. "Estimating extreme value cumulative distribution functions using bias-corrected kernel approaches," Working Papers XREAP2015-01, Xarxa de Referència en Economia Aplicada (XREAP), revised Jan 2015.
    2. Anna Castañer & Mª Mercè Claramunt, 2014. "Optimal stop-loss reinsurance: a dependence analysis," Working Papers XREAP2014-04, Xarxa de Referència en Economia Aplicada (XREAP), revised Apr 2014.
    3. Esther Vayá & José Ramón García & Joaquim Murillo & Javier Romaní & Jordi Suriñach, 2016. "“Economic Impact of Cruise Activity: The Port of Barcelona”," AQR Working Papers 201609, University of Barcelona, Regional Quantitative Analysis Group, revised Nov 2016.
    4. Mercedes Ayuso & Montserrat Guillén & Jens Perch Nielsen, 2016. "Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data," Working Papers XREAP2016-08, Xarxa de Referència en Economia Aplicada (XREAP), revised Dec 2016.
    5. Anna Castañer & Mª Mercè Claramunt & Alba Tadeo & Javier Varea, 2016. "Modelización de la dependencia del número de siniestros. Aplicación a Solvencia II," Working Papers XREAP2016-01, Xarxa de Referència en Economia Aplicada (XREAP), revised Sep 2016.
    6. Antonio Manresa & Ferran Sancho, 2012. "Leontief versus Ghosh: two faces of the same coin," Working Papers XREAP2012-18, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2012.

  2. Estanislao Arana & Pedro Delicado & Luis Martí, 1999. "Validation procedures in radiological diagnostic models. Neural network and logistic regression," Economics Working Papers 414, Department of Economics and Business, Universitat Pompeu Fabra.

    Cited by:

    1. Bergtold, Jason S. & Taylor, Daniel B. & Bosch, Darrell J., 2003. "Networking Your Way to a Better Prediction: Effectively Modeling Contingent Valuation Survey Data," 2003 Annual meeting, July 27-30, Montreal, Canada 22152, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  3. Pedro Delicado & Iolanda Placencia, 1997. "Comparing and validating hypothesis test procedures: Graphical and numerical tools," Economics Working Papers 210, Department of Economics and Business, Universitat Pompeu Fabra.

    Cited by:

    1. Domowitz, I. El-Gamal, M., 1997. "Financial Market Structure and the Ergocicity of Prices," Working papers 9719, Wisconsin Madison - Social Systems.

  4. Pedro Delicado & Fidel Castro & Jose M. Da Rocha, 1997. "Seeking theta's desperately: Estimating the distribution of consumers under increasing block rates," Economics Working Papers 250, Department of Economics and Business, Universitat Pompeu Fabra.

    Cited by:

    1. Castro-Rodriguez, Fidel, 1999. "Wright tariffs in the Spanish electricity industry: The case of residential consumption," Utilities Policy, Elsevier, vol. 8(1), pages 17-31, March.

  5. Delicado, Pedro & Romo, Juan, 1995. "Random coefficient regressions: parametric goodness of fit tests," DES - Working Papers. Statistics and Econometrics. WS 4199, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Delicado, Pedro & Romo, Juan, 1999. "Constant coefficient tests for random coefficient regression," DES - Working Papers. Statistics and Econometrics. WS 6271, Universidad Carlos III de Madrid. Departamento de Estadística.

  6. Delicado, Pedro, 1995. "Predicción con datos faltantes: aplicación a un caso real," DES - Documentos de Trabajo. Estadística y Econometría. DS 3583, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Chamorro-Gómez, José Augusto & Domínguez-Blancas, Christian Said & García-Morales, María Isabel, 2017. "El financiamiento de la banca comercial y el mercado de capitales: su relación con la desigualdad en la distribución del ingreso en México," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 12(24), pages 115-144, Primer se.

  7. Delicado, Pedro & Romo, Juan, 1994. "Goodness of fit tests in random coefficient regression models," DES - Working Papers. Statistics and Econometrics. WS 3962, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Tianshun Yan & Changlin Mei, 2017. "A test for a parametric form of the volatility in second-order diffusion models," Computational Statistics, Springer, vol. 32(4), pages 1583-1596, December.
    2. Zhang, Chun-Xia & Mei, Chang-Lin & Zhang, Jiang-She, 2007. "An empirical study of a test for polynomial relationships in randomly right censored regression models," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6543-6556, August.
    3. Delicado, Pedro & Romo, Juan, 1999. "Constant coefficient tests for random coefficient regression," DES - Working Papers. Statistics and Econometrics. WS 6271, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Delicado, Pedro & Romo, Juan, 1995. "Random coefficient regressions: parametric goodness of fit tests," DES - Working Papers. Statistics and Econometrics. WS 4199, Universidad Carlos III de Madrid. Departamento de Estadística.

  8. Delicado, Pedro & Río, Manuel del, 1993. "Bootstraping the general linear hypothesis test," DES - Working Papers. Statistics and Econometrics. WS 3702, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Pedro Delicado, 1998. "Statistics in archaeology: New directions," Economics Working Papers 310, Department of Economics and Business, Universitat Pompeu Fabra.

Articles

  1. Delicado, Pedro & Vieu, Philippe, 2015. "Optimal level sets for bivariate density representation," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 1-18.

    Cited by:

    1. Pedro Delicado & Philippe Vieu, 2017. "Choosing the most relevant level sets for depicting a sample of densities," Computational Statistics, Springer, vol. 32(3), pages 1083-1113, September.

  2. R. Giraldo & P. Delicado & J. Mateu, 2012. "Hierarchical clustering of spatially correlated functional data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(4), pages 403-421, November.

    Cited by:

    1. Elvira Romano & Jorge Mateu & Ramon Giraldo, 2015. "On the performance of two clustering methods for spatial functional data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(4), pages 467-492, October.
    2. Menafoglio, Alessandra & Secchi, Piercesare, 2017. "Statistical analysis of complex and spatially dependent data: A review of Object Oriented Spatial Statistics," European Journal of Operational Research, Elsevier, vol. 258(2), pages 401-410.
    3. Ramón Giraldo & William Caballero & Jesús Camacho-Tamayo, 2018. "Mantel test for spatial functional data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(1), pages 21-39, January.

  3. C. Comas & P. Delicado & J. Mateu, 2011. "A second order approach to analyse spatial point patterns with functional marks," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 503-523, November.

    Cited by:

    1. Ramón Giraldo & William Caballero & Jesús Camacho-Tamayo, 2018. "Mantel test for spatial functional data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(1), pages 21-39, January.

  4. Delicado, P., 2011. "Dimensionality reduction when data are density functions," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 401-420, January.

    Cited by:

    1. Hron, K. & Menafoglio, A. & Templ, M. & Hrůzová, K. & Filzmoser, P., 2016. "Simplicial principal component analysis for density functions in Bayes spaces," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 330-350.
    2. Martínez-Camblor, Pablo & Corral, Norberto, 2011. "Repeated measures analysis for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3244-3256, December.
    3. Delicado, Pedro & Vieu, Philippe, 2015. "Optimal level sets for bivariate density representation," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 1-18.
    4. Menafoglio, Alessandra & Petris, Giovanni, 2016. "Kriging for Hilbert-space valued random fields: The operatorial point of view," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 84-94.
    5. Zhang, Zhen & Müller, Hans-Georg, 2011. "Functional density synchronization," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2234-2249, July.
    6. Epifanio, Irene & Ventura-Campos, Noelia, 2011. "Functional data analysis in shape analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2758-2773, September.
    7. Berrendero, José R. & Cuevas, Antonio & Pateiro-López, Beatriz, 2016. "Shape classification based on interpoint distance distributions," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 237-247.
    8. Calò, Daniela G. & Montanari, Angela & Viroli, Cinzia, 2014. "A hierarchical modeling approach for clustering probability density functions," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 79-91.
    9. ARATA Yoshiyuki, 2017. "A Functional Linear Regression Model in the Space of Probability Density Functions," Discussion papers 17015, Research Institute of Economy, Trade and Industry (RIETI).
    10. Berrendero, J.R. & Justel, A. & Svarc, M., 2011. "Principal components for multivariate functional data," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2619-2634, September.
    11. Talská, R. & Menafoglio, A. & Machalová, J. & Hron, K. & Fišerová, E., 2018. "Compositional regression with functional response," Computational Statistics & Data Analysis, Elsevier, vol. 123(C), pages 66-85.
    12. Angela Montanari & Daniela Calò, 2013. "Model-based clustering of probability density functions," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 7(3), pages 301-319, September.

  5. Gonzalez, Juan R. & Peña, Edsel A. & Delicado, Pedro, 2010. "Confidence intervals for median survival time with recurrent event data," Computational Statistics & Data Analysis, Elsevier, vol. 54(1), pages 78-89, January.

    Cited by:

    1. de Peretti, Christian & Siani, Carole, 2010. "Graphical methods for investigating the finite-sample properties of confidence regions," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 262-271, February.

  6. Boj, Eva & Delicado, Pedro & Fortiana, Josep, 2010. "Distance-based local linear regression for functional predictors," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 429-437, February.

    Cited by:

    1. Chagny, Gaëlle & Roche, Angelina, 2016. "Adaptive estimation in the functional nonparametric regression model," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 105-118.
    2. Han Shang, 2014. "Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density," Computational Statistics, Springer, vol. 29(3), pages 829-848, June.
    3. Shang, Han Lin, 2013. "Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 185-198.
    4. Zhiyong Zhou & Zhengyan Lin, 2016. "Asymptotic normality of locally modelled regression estimator for functional data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(1), pages 116-131, March.
    5. Chouaf Abdelhak & Laksaci Ali, 2012. "On the functional local linear estimate for spatial regression," Statistics & Risk Modeling, De Gruyter, vol. 29(3), pages 189-214, August.
    6. Fatiha Messaci & Nahima Nemouchi & Idir Ouassou & Mustapha Rachdi, 2015. "Local polynomial modelling of the conditional quantile for functional data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 597-622, November.
    7. Oscar Melo & Carlos Melo & Jorge Mateu, 2015. "Distance-based beta regression for prediction of mutual funds," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 83-106, January.
    8. Philip T. Reiss & Jeff Goldsmith & Han Lin Shang & R. Todd Ogden, 2017. "Methods for Scalar-on-Function Regression," International Statistical Review, International Statistical Institute, vol. 85(2), pages 228-249, August.

  7. Delicado, P. & Goria, M.N., 2008. "A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1661-1673, January.

    Cited by:

    1. Barriga, Gladys D.C. & Louzada-Neto, Franscisco & Cancho, Vicente G., 2011. "The complementary exponential power lifetime model," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1250-1259, March.
    2. Asquith, William H., 2014. "Parameter estimation for the 4-parameter Asymmetric Exponential Power distribution by the method of L-moments using R," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 955-970.
    3. Di Nardo, E. & Guarino, G. & Senato, D., 2008. "Symbolic computation of moments of sampling distributions," Computational Statistics & Data Analysis, Elsevier, vol. 52(11), pages 4909-4922, July.
    4. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".

  8. Pedro Delicado, 2007. "Functional k-sample problem when data are density functions," Computational Statistics, Springer, vol. 22(3), pages 391-410, September.

    Cited by:

    1. Hron, K. & Menafoglio, A. & Templ, M. & Hrůzová, K. & Filzmoser, P., 2016. "Simplicial principal component analysis for density functions in Bayes spaces," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 330-350.
    2. Anthony Hayter, 2014. "Identifying common normal distributions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(1), pages 135-152, March.
    3. Martínez-Camblor, Pablo & Corral, Norberto, 2011. "Repeated measures analysis for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3244-3256, December.
    4. Romo Urroz, Juan & Lillo Rodríguez, Rosa Elvira & Valencia García, Dalia Jazmin, 2013. "A Kendall correlation coefficient for functional dependence," DES - Working Papers. Statistics and Econometrics. WS ws133228, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Menafoglio, Alessandra & Petris, Giovanni, 2016. "Kriging for Hilbert-space valued random fields: The operatorial point of view," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 84-94.
    6. Zhang, Zhen & Müller, Hans-Georg, 2011. "Functional density synchronization," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2234-2249, July.
    7. Huaihou Chen & Philip T. Reiss & Thaddeus Tarpey, 2014. "Optimally weighted L-super-2 distance for functional data," Biometrics, The International Biometric Society, vol. 70(3), pages 516-525, September.
    8. Martínez-Camblor, Pablo, 2010. "Nonparametric k-sample test based on kernel density estimator for paired design," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 2035-2045, August.
    9. István Berkes & Robertas Gabrys & Lajos Horváth & Piotr Kokoszka, 2009. "Detecting changes in the mean of functional observations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(5), pages 927-946.
    10. Vsevolozhskaya, O.A. & Greenwood, M.C. & Bellante, G.J. & Powell, S.L. & Lawrence, R.L. & Repasky, K.S., 2013. "Combining functions and the closure principle for performing follow-up tests in functional analysis of variance," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 175-184.

  9. Castro-Rodriguez, Fidel & Da-Rocha, Jose Maria & Delicado, Pedro, 2002. "Desperately Seeking Theta's: Estimating the Distribution of Consumers under Increasing Block Rates," Journal of Regulatory Economics, Springer, vol. 22(1), pages 29-58, July.

    Cited by:

    1. Arbues, Fernando & Garcia-Valinas, Maria Angeles & Martinez-Espineira, Roberto, 2003. "Estimation of residential water demand: a state-of-the-art review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 81-102, March.
    2. Lehmann, Paul, 2011. "Making water affordable to all: A typology and evaluation of options for urban water pricing," UFZ Discussion Papers 10/2011, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    3. Rita Martins & Carlota Quintal & Eduardo Barata & Luís Cruz, 2010. "Water Pricing and Social Equity in Portuguese Municipalities," GEMF Working Papers 2010-17, GEMF, Faculty of Economics, University of Coimbra.
    4. Maria A. García‐Valiñas & Roberto Martínez‐Espiñeira & Francisco González‐Gómez, 2010. "Economics of Water Reform in the Murray-Darling Basin," Centre for Water Economics, Environment and Policy Papers 1005, Centre for Water Economics, Environment and Policy, Crawford School of Public Policy, The Australian National University.
    5. María Angeles García Valiñas, 2005. "Promotion and remuneration of university professors: from the LRU to the COU," Hacienda Pública Española, IEF, vol. 172(1), pages 119-143, June.
    6. María Angeles García Valiñas, 2004. "Eficiencia y equidad en el diseño de precios óptimos para bienes y servicios públicos," Hacienda Pública Española, IEF, vol. 168(1), pages 95-119, march.
    7. Maria A. García-Valiñas & Roberto Martínez-Francisco & González-Gómez, 2010. "Water affordability: alternativem measurement and explanatory Factors in Andalusia," Centre for Water Economics, Environment and Policy Papers 1014, Centre for Water Economics, Environment and Policy, Crawford School of Public Policy, The Australian National University.
    8. Rita Martins & Luis Cruz & Eduardo Barata, 2013. "Water Price Regulation: A Review of Portuguese Tariff Recommendations," Public Organization Review, Springer, vol. 13(2), pages 197-205, June.
    9. Pinto, Francisco Silva & Marques, Rui Cuhna, 2015. "Tariff recommendations: A Panacea for the Portuguese water sector?," Utilities Policy, Elsevier, vol. 34(C), pages 36-44.

  10. Delicado, Pedro, 2001. "Another Look at Principal Curves and Surfaces," Journal of Multivariate Analysis, Elsevier, vol. 77(1), pages 84-116, April.

    Cited by:

    1. Salinelli, Ernesto, 2009. "Nonlinear principal components, II: Characterization of normal distributions," Journal of Multivariate Analysis, Elsevier, vol. 100(4), pages 652-660, April.
    2. Pulkkinen, Seppo, 2015. "Ridge-based method for finding curvilinear structures from noisy data," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 89-109.
    3. Pedro Delicado, 1998. "Statistics in archaeology: New directions," Economics Working Papers 310, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Serge Iovleff, 2015. "Probabilistic auto-associative models and semi-linear PCA," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(3), pages 267-286, September.
    5. Berrendero, J.R. & Justel, A. & Svarc, M., 2011. "Principal components for multivariate functional data," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2619-2634, September.
    6. Girard, Stéphane & Iovleff, Serge, 2005. "Auto-associative models and generalized principal component analysis," Journal of Multivariate Analysis, Elsevier, vol. 93(1), pages 21-39, March.

  11. Pedro Delicado & Juan Romo, 1999. "Goodness of Fit Tests in Random Coefficient Regression Models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 51(1), pages 125-148, March.
    See citations under working paper version above.
  12. Delicado, Pedro & del Rio, Manuel, 1994. "Bootstrapping the general linear hypothesis test," Computational Statistics & Data Analysis, Elsevier, vol. 18(3), pages 305-316, October.
    See citations under working paper version above.

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 1998-11-23 2012-05-29
  2. NEP-FOR: Forecasting (1) 2012-05-29

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