Box,George E.P., Jenkins,Gwilym M., Reinsel, Gregory C. 2008. Time Series Analysis: Forecasting and Control, 4th Edition. NJ.USA.
Brockwell,P.J. and Davis, R.A. 1991. Time Series :Theory and Methods. Second Edition. Springer-Verlag, Inc. New York.
Erna, A., Sanjoyo, A., dan Dieky, A. 2011. „‟The Ground Water Pollution Estimation by The Ensemble Kalman Filter. Canadian Journal on Science and Engineering Mathematics, Vol 2 No. 2.
LAPAN.(2009).DampakPerubahan Iklim.(http://iklim.dirgantara-lapan.or.id.id/index.php?option=com_content&view=article&id=60&Itemid=37, diaksespada 9 September 2014).
Hamilton, J.D. 1994. Time Series Analysis. Princeton University Press. New Jersey.
Makridakis,Spyrosdkk. 1999. Metode dan Aplikasi Peramalan edisi kedua. Jakarta: Erlangga
McLachlan, G. J. and D. Peel (2000). Finite Mixture Models. New York: Wiley.
Meinhold, R.J. and Singpurwala, N. D. 1983. Understanding The Kalman Filter. The American Statistician. Volume 37 No. 2 : 123 – 127. American Statistical Association.
Petris, G. 2010. An R Package for Dynamic Linear Models. Journal of Statistical Software. Volume 36 Issue 12. American Statistical Association. USA.
Petris,G. and Petrone, S. 2011. State Space Models in R. Journal of Statistical Software. Volume 41 Issue 4. American Statistical Association. USA.
Raftery,Adrian E.2003. Using Bayesian Model Averaging to Calibrate Forecast Ensembles. Jurnal of Statistic Department. University of Washington, Seattle, Washington
Raftery, A.F., Gneiting, T., Balabdaoui, F., dan Polakowski, M. (2005). Using Bayesian Model to Calibrate Forecast Ensembles. Monthly Weather Review, Vol 133. Hal 1155-1173.
Sloughter, M.J., Gneiting, T., dan Raftery, A.E. (2010). Probabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging. Journal of the American Statistical Association. Vol 105, No 489. Hal 25-34.
Supranto, J.2000. Statistika Teori dan Aplikasi. Jakarta : Erlangga.
Tresnawati, R. dan Komalasari, K.E. 2011. Skenario Tenggang Waktu SST Nino 3.4 Terhadap Curah Hujan untuk Meningkatkan Akurasi Prediksi Kalman Filter. Jurnal Meteorologi dan Geofisika. Volume 12 No. 3 : 243 – 251. Puslitbang BMKG. Jakarta.
Wei, W.W.S. 2006. Time Series Analysis Univariate and Multivariate Methods. Second Edition. Pearson Education, Inc. US.
Welch, G. and Bishop, G. 2001. An Introduction to the Kalman Filter. ACM Inc.
Wu, C. F. J. (1983). On The Convergence Properties of The EM Algorithm. Annals of Statistic 11, 95-103.
Zhu, Yuejian.2005. Ensemble Forecast: A New Approach To Uncertainty And Predictability. Advance In Atmosphere Science,Vol 22,No 6. Hal 781-788