Laboratorio de Estadística

Escuela Técnica Superior de Ingenieros Industriales

Universidad Politécnica de Madrid



Jesús Juan Ruiz


Jesús Juan Ruiz es catedrático de Estadística en la Universidad Politécnica de Madrid donde es profesor desde 1986. Es director del curso de Metodología de Investigación Cuantitativa que organiza el Consejo Superior de Investigaciones Científicas (CSIC).

Despacho: Laboratorio de Estadística
Teléfono: 91-3363147



Diseño y Regresión - Grupo M1

  • Material del grupo M1: aquí



Líneas de investigación:

Publicaciones recientes:

• Cara, F.J., Juan, J. & Alarcón, E. (2012). “Estimating the modal parameters from multiple measu-rement setups using a joint state space model.” Tech. Report. Statistics Lab. 2012, (Submitted for publication )

• Cara, F.J., Juan, J., Alarcón, E., Reynders, E. & De Roeck, G. (2012). “Modal contribution and state-space order selection in operational modal analysis”. Tech. Report. Statistics Lab. 2012 (Submitted for publication to Mechanical Systems and Signal Processing)

• Carpio, J., Juan, J. & López, D. (2012), “ Multivariate exponential smoothing and dynamic factor model applied to hourly electricity price analysis,” Tech. Report. Statistics Lab. UPM, 2012, (Submitted for publication)

• Cara, F.J., Carpio, J., Juan, J. & Alarcón, E. (2012). “An approach to Operational Modal Analysis using the Expectation Maximization Algorithm.” Mechanical Systems and Signal Processing, Vol. 31, p. 109-129, August 2012.

• Cara, F. J. & Juan, J. (2012). “Modal Analysis with replications.” Issues on Mechanical and Civil Engineering. Ed. UPM Press, Madrid, November 2012. ISBN 978-84-939196-7-2

• Cara, F. J., Juan, J., Alarcón, E. (2012). “Estimation of modal parameters in structures using multiple time history records”. International Conference on Noise and Vibration Engineering - ISMA 2012. Leuven, September 2012. ISBN 9789073802896.

• Cara, F. J., Carpio, J., Juan, J., Alarcón, E. (2011). “Operational Modal Analysis using the Expectation Maximization Algorithm.” VIII International Conference on Structural Dynamics, EURODYN. Leuven, July 2011. G. De Roeck, G. Degrande, G. Lombaert, G. Müller (eds.). ISBN 978-90-760-1931-4.

• Cara, F. J., Carpio, J., Juan, J., Alarcón, E. (2010). Maximum Likelihood Estimation of Modal Parameters in Structures using the Expectation Maximization Algorithm. VII International Conference on Computational Structures Technology. Valencia, September 2010. B.H.V. Topping, J.M. Adam, F.J. Pallarés, R. Bru and M.L. Romero, (Editors). ISBN 978-1-905088-39-3 (Book), ISBN 978-1-905088-40-9 (CD-ROM).

• Cara, F. J., Carpio, J., Juan, J., Alarcón, E. (2009). Computational methods for identification of vibrating structures. XII International Conference on Civil, Structural and Environmental Engineering Computing. Madeira, September 2009. ISBN 978-1-905088-30-0 (Book), ISBN 978-1-905088-31-7 (CD-ROM).

• García, N., O. Cabellos, F. Álvarez, J. Sanz, E. González-Romero & Juan, J., Nuclear Data Requirements for the ADS Conceptual Design EFIT: Uncertainty and Sensitivity Analysis, Annals of Nuclear Energy, 2010

• Anthony , D.K., F. Simon & Juan, J., Determining material damping type by comparing modal frequency estimators , JASA El , 2009

• García-Herranz, N. , O. Cabellos, J. Sanz, J. Juan & J.C. Kujiper , Propagation of Statistical and Nuclear Data Uncertainties in Monte Carlo Burn up Calculations, Annals of Nuclear Energy, 2008, Vol. 35, 714-730

• Sanz, J., Juan, J., Oscar Cabellos, Nuria García, F. Älvarez & E. González. “Applications of Monte Carlo techniques for propagation of cross section uncertainties to actinide inventory in ADS transmutes: comparison with sensitivity análisis.” EDP Science , Ed. CEA, 2007

• Juan, J., & Prieto, F.J. “Using angles to identify concentrated multivariate outliers,” Technometrics, 2001, Vol. 43, 311-322

• Juan, J., & Francisco J. Prieto Fernández, A subsampling method for the computation of multivariate estimators with high breakdown point, Journal of Computational and Graphical Statistics, Vol. 4, Nº4, (1995), pp. 319-334

• González, C., Juan, J., José Mira, Francisco J. Prieto, M. Jesús Sánchez, Reliability Analysis for Systems with Large Hydro Resources in a Deregulated Electric Power Market, Trans. on IEEE Power Systems. 2005, Vol. 20, Nº. 1 , pp. 90 - 95

• González, C., Juan, J., Reliability evaluation for hydrothermal generating systems: application to the spanish case Reliability Engineering & System Safety 64, (1999), pp. 89-97

• González, C. & Juan, J., Obtaining the confounding pattern for 2k-p experiments Communications in Statistics, Theory & Methods, 26(11), (1997), pp. 2769-2777

• Juan, J., & Peña, D., A simple method to identify significant effects in unreplicated two-level factorial designs Communications in Statistics, Theory & Methods, 21 (5), (1992),pp. 1383-1403

• Juan, J., & Isabel Ortega Jackson, Reliability analysis for hydrothermal generating systems including the effect of maintenance scheduling, IEEE Trans. On Power Systems, Vol 12, Nº 4, (1997), pp. 1561- 1568

• González, C. & Juan, J., Leveling reliability in systems with large hydro resources , IEEE Trans. On Power Systems, Vol. 14, Nº 1, (1999), pp. 23-28.

• Juan, J., Sampling error in measurement of dirt in pulp & paper , Tappi Journal, Vol 79, Nº 5, (1996), pp. 222-229

• Sanz, G., , González, C. & Juan, J., Long-lived activity of elements: effect of new activation cross-sections and their uncertainties on the selection of materials for IFE reactors. Journal of Nuclear Materials, Vol. 258-263, (1998), pp.-1700-1707

• Sanz, G., , Juan, J., & Jeffery F. Latkowsky, Uncertainty analysis in fusion activation calculations: Application to the waste disposal assesment of the Hylife-II structure, Fusion Technology, Vol. 30, (1996), pp.-1557-1565

• Peña, D. & Juan, J., Identifying significants effects in unreplicated fractional factorial design, Bulletin of the International Statistical Institute, (1989)

• Jaén, J. A., Juan, J., Prieto, F.J. & Salamanca, A., Computer assisted instruction in linear programming, European Journal of Engineering Education, Vol. 10, (1985), pp. 329-338,

• Juan, J., & Peña, D., Análisis de diseños factoriales sin replicación, Trabajos de Estadística (Test), Vol. 6, Num. 1, (1991), pp. 63-80

• Salamanca, A. & Juan, J., Algoritmo del elipsoide interior para la programación lineal, Questiió, Vol. 15, (1991), pp. 69-93 ,

• González, C. & Juan, J., Método para identificar la estructura de confusión en diseños 2k-p , Estadística Española, 36 (137), (1994), pp. 445-458.

• González, C, & Juan, J., The Allocation of Annual Hydraulic Energy from an Optimal Reliability Point of View, “Advances in Safety & Reliability” Ed. C. Guedes Soares, Pergamon ,

• Juan, J., & Palomo, J.G. , Mínimum aberration two level designs of resolution III, Proceedings of the 2000 Joint Statistical Meeting,Section on Quality & Productivity

• Juan, J., & Prieto, F. J., “Bias improvement for robust scale estimators based on projections.” Tech. Report Statistics Lab., ETSII-UPM.

• Juan, J., & Palomo, J.G, (2000) “2 k-p mínimum aberration designs of resolution III.” Tech. Report Statistics Lab. ETSII-UPM.

• Ramírez, J. & , Juan, J.,(1989) “A contour nomogram for designing cusum charts for variance,” Center for Quality and Productivity Improvement, University of Wisconsin (Madison) , Report. 33, 1989

• Juan, J., & Prieto, F.J. , Identification of point-mass contaminations in multivariate samples, Working Papers 97-13, Universidad Carlos III de Madrid.

• Juan, J., & Prieto F. J., A Subsampling method for the computation of multivariate estimators with high breakdown point. Working Papers 94-22, Universidad Carlos III de Madrid.

• Juan, J., & Sanz, J., “Computing the derivative of the matix exponential function,” Technical Report, DENIM, Instituto de Fusión Nuclear, UPM.