Books and Book chapters

---

Books (in Spanish)

1. Pedregal, D.J. (2023), Fundamentos de gestión empresarial para ingenieros, https://djpedregal.github.io/LibroGE/.
2. Pedregal, D.J. (2016), Economía para ingenieros. ISBN 978-1-326-73331-5.
3. Trapero, J.R., García, F.P., Pedregal, D.J. (2013), Dirección y gestión empresarial, McGraw-Hill. ISBN 978-84-481-9038-5.
4. Pedregal, D.J. (2011), Manual de Microeconomía. Todo lo imprescindible para entenderla. ISBN 978-1-4475-1725-2. Libro Excel Microeconomía.
5. Pedregal, D.J. (2011), Manual de Macroeconomía. Todo lo necesario para entenderla. ISBN 978-1-4477-1113-1. Libro Excel Macroeconomia.

---

Book Chapters

1. Babiloni, E, Guijarro, E, Pedregal, DJ, Trapero, JR (2023), “Impact of Backordering on the Demand Forecasting Process”. In: García, FP, Segovia, I, Bernalte, PJ, Muñoz, A (eds) IoT and Data Science in Engineering Management. CIO 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 160. Springer.
2. Pedregal, DJ, Trapero, JR (2020), “On the identification of Unobserved Components Models”, in: Valenzuela, O, Rojas, F, Herrera, LJ, Pomares, H, Rojas, I (eds.), Theory and Applications of Times Series Analysis, 65-80, Springer.
3. Pedregal, DJ, Villegas, MA, Villegas, DA, Trapero, JR (2019), “Time series modeling with MATLAB:The SSpace toolbox”, in: Valenzuela, O, Rojas, F, Pomares, H, Rojas I (eds.), Theory and Applications of Times Series Analysis, 71-84, Springer.
4. Villegas, M.A., García, F.P., Pedregal, D.J., (2015), «How Business Analytics Should Work», in: García, F.P. and Lev, B. (eds.), Advanced Business Analytics, 93-108, Springer.
5. Gómez, C.Q., Villegas, M.A., García, F.P., Pedregal, D.J. (2015), «Big Data and Web Intelligence for Condition Monitoring. A Case Study on Wind Turbines», in: Zarman, N., Ehassan, M., Fadzil, M., García, F.P., Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence. IGI-Global.
6. Trapero, J.R. and Pedregal, D.J. (2012), «Supply chain demand forecasting: towards an integrated approach», in: Sethi, S.P. Bogataj, M. and Ros-McDonnell, L. (eds.), Industrial engineering: innovative networks, Springer, Cartagena, Spain, chapter 31, 275-282.
7. Pedregal, D.J. and Trapero, J.R. (2012), «The power of ECOTOOL MATLAB Toolbox», in: Sethi, S.P. Bogataj, M. and Ros-McDonnell, L. (eds.), Industrial engineering: innovative networks, Springer, Caragena, Spain, chapter 36, 319-328.
8. Pedregal, D.J. and Taylor, C.J. (2012), «SSpace: A Flexible and General State Space Toolbox for MATLAB», in L. Wang and Garnier, H. (eds.), System Identification, Environmental Modelling, and Control System Design, Springer Verlag, London.
9. Pedregal, D.J., Contreras, J., and Sánchez, A. (2012), «ECOTOOL: A general MATLAB Forecasting Toolbox with applications to Electricity Markets», in: P.M. Pardalos, M.V.F. Pereira, N.A. Iliadis, S. Rebennack and A. Sorokin(eds), Handbook of Networks in Power Systems, Springer Verlag.
10. García, F.P. and Pedregal, D.J. (2011), «Digital Filters for Maintenance Management», in: F.P. García (ed.), Digital Filters, InTech, Rijeka, Croatia.
11. Young, P.C., Pedregal, D.J. (2004), ‘Environmental forecasting’. Encyclopedia of Environmetrics, editado por A.H. El-Shaarawi and W.W. Piegorsch (J. Wiley). http://www.wiley.com/legacy/wileychi/eoenv/pdf/Vaf007-.pdf
12. Pedregal, D.J., Young, P.C. (2002), ‘Statistical Approaches to Modelling and Forecasting Time Series’. En Clements, M. and Hendry, D. (eds.), Companion to Economic Forecasting (Blackwell Publishers), 69-104.
13. Young, P.C., Pedregal, D.J. (1997), ‘Data-Based Mechanistic Modelling’. C. Heij et al. (eds.), System Dynamics in Economic and Financial models (J. Wiley, Chichester), 169-213.
14. Young, P.C., Pedregal, D.J. (1997), ‘Comments on “Multivariate Structural Time Series Models” ’ by A. Harvey and S. J. Koopman. C. Heij et al. (eds.), System Dynamics in Economic and Financial models (J. Wiley, Chichester), 291-293.