Vicente Núñez-Antón
(Vicente Nunez-Anton)

Personal Details

First Name:	Vicente
Middle Name:
Last Name:	Nunez-Anton
Suffix:
RePEc Short-ID:	pne143
	[This author has chosen not to make the email address public]
	http://www.et.bs.ehu.es/~etpnuanv/

Affiliation

Departamento de Economía Aplicada III (Econometría y Estadística)
Facultad de Economía y Empresa
Universidad del País Vasco - Euskal Herriko Unibertsitatea

Bilbao, Spain
https://www.ehu.eus/es/web/ea3
RePEc:edi:deehues (more details at EDIRC)

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. Vicente Nuñez-Antón & Juan Manuel Pérez-Salamero González & Marta Regúlez-Castillo & Carlos Vidal-Meliá, 2019. "Improving the representativeness of a simple random sample: an optimization model and its application to the Continuous Sample of Working Lives," Documentos de Trabajo del ICAE 2019-20, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
   • Vicente Núñez-Antón & Juan Manuel Pérez-Salamero González & Marta Regúlez-Castillo & Carlos Vidal-Meliá, 2020. "Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives," Mathematics, MDPI, vol. 8(8), pages 1-27, July.

   Cited by:

   1. Anne M. Garvey & Juan Manuel Pérez-Salamero González & Manuel Ventura-Marco & Carlos Vidal-Meliá, 2021. "From “Table 29” to the actuarial balance sheet: is it really that big a leap?," Documentos de Trabajo del ICAE 2021-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

Articles

1. Mabel Morales-Otero & Vicente Núñez-Antón, 2021. "Comparing Bayesian Spatial Conditional Overdispersion and the Besag–York–Mollié Models: Application to Infant Mortality Rates," Mathematics, MDPI, vol. 9(3), pages 1-33, January.

   Cited by:

   1. Chien-Chou Chen & Guo-Jun Lo & Ta-Chien Chan, 2022. "Spatial Analysis on Supply and Demand of Adult Surgical Masks in Taipei Metropolitan Areas in the Early Phase of the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(11), pages 1-12, May.

2. Vicente Núñez-Antón & Juan Manuel Pérez-Salamero González & Marta Regúlez-Castillo & Carlos Vidal-Meliá, 2020. "Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives," Mathematics, MDPI, vol. 8(8), pages 1-27, July.
   • Vicente Nuñez-Antón & Juan Manuel Pérez-Salamero González & Marta Regúlez-Castillo & Carlos Vidal-Meliá, 2019. "Improving the representativeness of a simple random sample: an optimization model and its application to the Continuous Sample of Working Lives," Documentos de Trabajo del ICAE 2019-20, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
   See citations under working paper version above.
3. Ainhoa Oguiza Tovar & Inmaculada Gallastegui Zulaica & Vicente Núñez-Antón, 2012. "Analysis of pseudo-panel data with dependent samples," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(9), pages 1921-1937, May.

   Cited by:

   1. Ermolova, Maria D. & Penikas, Henry I., 2016. "QAIDS Model Based on Russian Pseudo - Panel Data: Impact of 1998 and 2008 Crises," MPRA Paper 82876, University Library of Munich, Germany.

4. Jesus Orbe & Eva Ferreira & Vicente Nunez-Anton, 2002. "Length of time spent in Chapter 11 bankruptcy: a censored partial regression model," Applied Economics, Taylor & Francis Journals, vol. 34(15), pages 1949-1957.

   Cited by:

   1. Stef, Nicolae & Ben Jabeur, Sami & Scherer, Robert F., 2022. "Time to resolve insolvency and political elections," International Review of Law and Economics, Elsevier, vol. 72(C).
   2. Dewaelheyns, Nico & Van Hulle, Cynthia, 2009. "Filtering speed in a Continental European reorganization procedure," International Review of Law and Economics, Elsevier, vol. 29(4), pages 375-387, December.
   3. Kose John & Mahsa S Kaviani & Lawrence Kryzanowski & Hosein Maleki, 2021. "Do Country-Level Creditor Protections Affect Firm-Level Debt Structure Concentration? [Why not a political Coase theorem? Social conflict, commitment, and politics]," Review of Finance, European Finance Association, vol. 25(6), pages 1677-1725.
   4. Aysun, Uluc, 2015. "Duration of bankruptcy proceedings and monetary policy effectiveness," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 295-302.
   5. Goodwin, John & Routledge, James, 2021. "Determinants of the duration of the voluntary administration process: An unconditional quantile regression analysis," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(3).

5. Orbe, Jesus & Ferreira, Eva & Nunez-Anton, Vicente, 2001. "Modelling the duration of firms in Chapter 11 bankruptcy using a flexible model," Economics Letters, Elsevier, vol. 71(1), pages 35-42, April.

   Cited by:

   1. S. Balcaen & S. Manigart & H. Ooghe, 2009. "From distress to exit: determinants of the time to exit," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/588, Ghent University, Faculty of Economics and Business Administration.
      • Balcaen, S. & Manigart, S. & Ooghe, H., 2009. "From Distress to exit: determinants of the time to exit," Vlerick Leuven Gent Management School Working Paper Series 2009-12, Vlerick Leuven Gent Management School.
      • Sofie Balcaen & Sophie Manigart & Hubert Ooghe, 2011. "From distress to exit: determinants of the time to exit," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 407-446, August.
   2. Orbe Lizundia, Jesús María & Ferreira García, María Eva & Núñez Antón, Vicente Alfredo, 2001. "Analysis of Length of Time Spent in Chapter 11 Bankruptcy," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
   3. Goodwin, John & Routledge, James, 2021. "Determinants of the duration of the voluntary administration process: An unconditional quantile regression analysis," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(3).

6. Dale Zimmerman & Vicente Núñez-Antón & Timothy Gregoire & Oliver Schabenberger & Jeffrey Hart & Michael Kenward & Geert Molenberghs & Geert Verbeke & Mohsen Pourahmadi & Philippe Vieu & Dela Zimmerman, 2001. "Parametric modelling of growth curve data: An overview," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 10(1), pages 1-73, June.

   Cited by:

   1. Carlos A. Coelho & Anuradha Roy, 2017. "Testing the hypothesis of a block compound symmetric covariance matrix for elliptically contoured distributions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(2), pages 308-330, June.
   2. Lea A I Vaas & Johannes Sikorski & Victoria Michael & Markus Göker & Hans-Peter Klenk, 2012. "Visualization and Curve-Parameter Estimation Strategies for Efficient Exploration of Phenotype Microarray Kinetics," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-18, April.
   3. Benhenni, K. & Rachdi, M., 2006. "Nonparametric estimation of the regression function from quantized observations," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3067-3085, July.
   4. Mohsen Pourahmadi, 2002. "Graphical Diagnostics for Modeling Unstructured Covariance Matrices," International Statistical Review, International Statistical Institute, vol. 70(3), pages 395-417, December.
   5. Dabo-Niang, Sophie & Ferraty, Frederic & Vieu, Philippe, 2007. "On the using of modal curves for radar waveforms classification," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 4878-4890, June.
   6. Sophie Donnet & Jean-Louis Foulley & Adeline Samson, 2010. "Bayesian Analysis of Growth Curves Using Mixed Models Defined by Stochastic Differential Equations," Biometrics, The International Biometric Society, vol. 66(3), pages 733-741, September.
   7. Martin Martínez-Salvador & Ricardo Mata-Gonzalez & Alfredo Pinedo-Alvarez & Carlos R. Morales-Nieto & Jesús A. Prieto-Amparán & Griselda Vázquez-Quintero & Federico Villarreal-Guerrero, 2019. "A Spatial Forestry Productivity Potential Model for Pinus arizonica Engelm, a Key Timber Species from Northwest Mexico," Sustainability, MDPI, vol. 11(3), pages 1-15, February.

7. Ferreira, Eva & Nunez-Anton, Vicente & Rodriguez-Poo, Juan, 2000. "Semiparametric approaches to signal extraction problems in economic time series," Computational Statistics & Data Analysis, Elsevier, vol. 33(3), pages 315-333, May.

   Cited by:

   1. Zhao, Shan & Wei, G. W., 2003. "Jump process for the trend estimation of time series," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 219-241, February.
   2. Martín Rodríguez, Gloria & Cáceres Hernández, José Juan, 2010. "Splines and the proportion of the seasonal period as a season index," Economic Modelling, Elsevier, vol. 27(1), pages 83-88, January.
   3. Orbe, Susan & Ferreira, Eva & Rodriguez-Poo, Juan, 2005. "Nonparametric estimation of time varying parameters under shape restrictions," Journal of Econometrics, Elsevier, vol. 126(1), pages 53-77, May.
      • Orbe Mandaluniz, Susan & Ferreira García, María Eva & Rodríguez Poo, Juan M., 2001. "Nonparametric estimation of time varying parameters under shape restrictions," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
   4. Q. Shao, 2009. "Seasonality analysis of time series in partial linear models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(7), pages 827-837.
   5. Martin-Rodriguez, Gloria & Caceres-Hernandez, Jose Juan, 2009. "The Proportion of the Seasonal Period as a Season Index in Weekly Agricultural Data," 2009 Conference, August 16-22, 2009, Beijing, China 49956, International Association of Agricultural Economists.

8. Vicente Núñez-Antón & Juan Rodríguez-Póo & Philippe Vieu, 1999. "Longitudinal data with nonstationary errors: a nonparametric three-stage approach," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 8(1), pages 201-231, June.

   Cited by:

   1. Ferreira García, María Eva & Núñez Antón, Vicente Alfredo & Rodríguez Poo, Juan M., 1999. "Two-Stage Nonparametric Regression for Longitudinal Data," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
   2. Rakêt, Lars Lau & Markussen, Bo, 2014. "Approximate inference for spatial functional data on massively parallel processors," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 227-240.
   3. Frédéric Ferraty & Philippe Vieu, 2002. "The Functional Nonparametric Model and Application to Spectrometric Data," Computational Statistics, Springer, vol. 17(4), pages 545-564, December.
   4. Konietschke, F. & Bathke, A.C. & Hothorn, L.A. & Brunner, E., 2010. "Testing and estimation of purely nonparametric effects in repeated measures designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1895-1905, August.
   5. Dale Zimmerman & Vicente Núñez-Antón & Timothy Gregoire & Oliver Schabenberger & Jeffrey Hart & Michael Kenward & Geert Molenberghs & Geert Verbeke & Mohsen Pourahmadi & Philippe Vieu & Dela Zimmerman, 2001. "Parametric modelling of growth curve data: An overview," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 10(1), pages 1-73, June.
   6. Karim Benhenni & Mustapha Rachdi & Yingcai Su, 2013. "The effect of the regularity of the error process on the performance of kernel regression estimators," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(6), pages 765-781, August.
   7. Fu, Liya & Wang, You-Gan, 2012. "Quantile regression for longitudinal data with a working correlation model," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2526-2538.
   8. Cao, Jiguo & Ramsay, James O., 2009. "Generalized profiling estimation for global and adaptive penalized spline smoothing," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2550-2562, May.

9. Ferreira, Eva & Núñez-Antón, Vicente & Rodríguez-Póo, Juan, 1997. "Kernel regression estimates of growth curves using nonstationary correlated errors," Statistics & Probability Letters, Elsevier, vol. 34(4), pages 413-423, June.

   Cited by:

   1. Benhenni, K. & Rachdi, M., 2006. "Nonparametric estimation of the regression function from quantized observations," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3067-3085, July.
   2. Ferreira García, María Eva & Núñez Antón, Vicente Alfredo & Rodríguez Poo, Juan M., 1999. "Two-Stage Nonparametric Regression for Longitudinal Data," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
   3. D. Benelmadani & K. Benhenni & S. Louhichi, 2020. "The reproducing kernel Hilbert space approach in nonparametric regression problems with correlated observations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(6), pages 1479-1500, December.
   4. Vicente Núñez-Antón & Juan Rodríguez-Póo & Philippe Vieu, 1999. "Longitudinal data with nonstationary errors: a nonparametric three-stage approach," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 8(1), pages 201-231, June.
   5. Karim Benhenni & Mustapha Rachdi & Yingcai Su, 2013. "The effect of the regularity of the error process on the performance of kernel regression estimators," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(6), pages 765-781, August.

Books

1. Dale L. Zimmerman & Vicente Núñez-Antón, 2010. "Antedependence Models for longitudinal Data," UPV/EHU Books, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales, number 11.

   Cited by:

   1. Matthew W. Guerra & Justine Shults, 2014. "A Note on the Simulation of Overdispersed Random Variables With Specified Marginal Means and Product Correlations," The American Statistician, Taylor & Francis Journals, vol. 68(2), pages 104-107, May.

2. Frederic Ferraty & Vicente Núñez-Antón & Philippe Vieu, 2001. "Regresión No Paramétrica: Desde la Dimensión Uno Hasta la Dimensión Infinita," UPV/EHU Books, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales, number 10.

   Cited by:

   1. Scholz, Michael & Sperlich, Stefan & Nielsen, Jens Perch, 2016. "Nonparametric long term prediction of stock returns with generated bond yields," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 82-96.
   2. Lisandro Javier Fermin & Ricardo Rios & Luis Angel Rodriguez, 2017. "A Robbins–Monro Algorithm for Non-Parametric Estimation of NAR Process with Markov Switching: Consistency," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 809-837, November.

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