MARAVALL, A. (1995), "Unobserved Components in Economic Time Series", in Pesaran, H. and Wickens, M. (eds.), The Handbook of Applied Econometrics, chap. 1, 12-72. Oxford: Basil Blackwell.
GÓMEZ, V. and MARAVALL, A. (2001a), "Automatic Modeling Methods for Univariate Series", Ch.7 in Peña D., Tiao G.C. and Tsay, R.S. (eds.), A Course in Time Series Analysis, New York: J. Wiley and Sons.
MARAVALL, A., LOPEZ, R., and PÉREZ, D., (2015), “Reliability of the Automatic Identification of ARIMA Models in Program TRAMO”, in Beran, J., Feng, Y., and Hebbel, H. (eds.) Empirical Economic and Financial Research. Theory, Methods and Practice, Springer series in Advanced Studies in Theoretical and Applied Econometrics, International Publishing, Switzerland, 105-122.
BANK of SPAIN It contains, besides the DOS and WINDOWS versions of the programs, interfaces with C++, Java, Python, R, SAS, Matlab, C#, Fame and Linux, papers and documentation, and about 80000 time series.
See U.S. CENSUS BUREAU (2016), X-13-ARIMA-SEATS Seasonal Adjustment Program, Center for Statistical Research and Methodology, US Census Bureau, and U.S. CENSUS BUREAU (2011), "X12-ARIMA Reference Manual; Version 0.3" Statistics Research Division, US Census Bureau. The two programs have been developed by a team led by David Findley and Brian Monsell.
See GRUDKOWSKA, S. (2015), “JDemetra+ Reference Manual. Version 1.1”, Department of Statistics, National Bank of Poland. The interface has been mostly developed by J. Palate and his team at the Bank of Belgium with support from Eurostat.
