DAFTAR PUSTAKA
Allan R. 2000. ENSO and Climatic Variability in The Past 150 years, in ENSO: Multiscale Variability and Global and Regional Impacts, Diaz, H & Markgraft, V. (Eds), pp. 3-55. Cambridge Univ. Press. Cambridge.
Aldrian E, Susanto RD . 2003. Identification Of Three Dominant Rainfall Regions Within Indonesia and Their Relationship To Sea Surface Temperature. International Journal Of Climatology 23: 1435–1452 (2003)
[Anonim]. 2010. Geografis dan Administrasi Indramayu. http://www.indramayu. go.id. [20 Agustus 2010]
Apriyatna Y, Yonny K, Irsal L, Edvin A. 2010. Penetapan Kalender Tanam Padi Berdasarkan Fenomena ENSO (El Nino Southern Oscillation) dan IOD (Indian Ocean Dipole) [disertasi]. Bogor : Program Pascasarjana, Institut Pertanian Bogor.
Ashok K, Guan Z, and Yamagata T .2001. Impact of the Indian Ocean Dipole on the Relationship between the Indian Monsoon Rainfall, Geophys.Res.Lett.
BMG [Badan Metereologi dan Geofisika]. 2003. Pengkajian Prakiraan Musim untuk Pertanian di Kabupaten Indramayu. Laporan Akhir. Badan Metereologi dan Geofisika, Jakarta.
BMKG [Badan Metereologi Klimatologi dan Geofisika]. 2011. Evaluasi Cuaca & Sifat HUjan Bulan Agustus 2011 serta Prakiraan Cuaca dan Sifat Hujan Bulan September 2011. Bulletin Metereologi. Badan Metereologi Klimatologi dan Geofisika Stasiun Metereologi Otorita Batam.
Banerjeee S, Carlin BP, Gelfand AE. 2004. Hierarchical Modeling and Analysis for Spatial Data. Florida: Chapman &Hall/CRC.
Bank of England. 2004. Economic Models at the Bank of England, Chapter 5: Vector Autoregression Models. http://www.bankofengland.co.uk/
five.pdf [5 Pebruari 2010]
Boer R. 1999. Perubahan Iklim, El Nino dan La Nina. Makalah dalam Pelatihan Dosen-dosen Perguruan Tinggi Indonesia Bagian Barat dalam Bidang Agroklimatologi. Bogor: Biotrop.
Boer R, Notodiputro KA, Las I. 1999. Prediction of daily rainfall characteristics from montly climate indices. Proceeding of The Second International Conference on Science and Technology for the Assessment of Global Climate Change and Its Impacts on Indonesian Maritime Continent, 29 November-1 December 1999.
Boer R. 2006a. Pendekatan Dalam Mengelola Resiko Iklim. Makalah dalam Pelatihan Dosen Bidang Pemodelan dan Simulasi Komputer untuk Pertanian. Cisarua Bogor, 7-20 September 2006.
Boer R. 2006b. Metode Mengevaluasi Keandalan Model Prakiraan Musim. Paper disajikan dalam acara Pelatihan Downscaling Model, Badan Metereologi dan Geofisika. Jakarta 16-18
Bruce JP & Clark RH. 1966. Introduction to Hydrometereology. California: Pergamon Press.
Box GEP, Jenkins GM, Reinsel GC. 1994. Time Series Analysis, Forecasting and Control, 3 edition. Englewood Cliffs: Pretice Hall.
Casati et al. 2008. Forecast verification: current status and future directions. Meteorol. Appl. 15, 3-18.
Cryer JD. 1986. Time Series Analysis. Boston: PWS-KENT Publishing Company.
Djuraidah A. 2007. Model Aditif Spatio-Temporal untuk Pencemar Udara PM10 dan Ozon di Kota Surabaya dengan Pendekatan Model Linear Campuran [disertasi]. Bogor : Program Pascasarjana, Institut Pertanian Bogor.
Dupe ZL dan Tjasyono B. 1998. El Nino dampaknya terhadap Cuaca dan Musim di Indonesia. Semiloka El-Nino. Bandung : Jurusan Geofisika dan Metereologi ITB.
Dupe ZL. 1999. Prediction Nino3.4 SST Anomaly Using Simple Harmonic Model. Paper presented at The Second International Conference on Science and Technology for the Assessmant of Global Climate Change and Its Impacts on Indonesian Maritime Continent, 29 November-01 Desember 1999.
Enders W. 2004. Applied Econometric Time Series. John Willey and Sons, Inc. Green, P.J. and B.W. Silverman. 1994. Nonparametric Regression and
Generalized Linear Models A Roughness Penalty Approach. London: Chapman & Hall.
Gutman GI, Csiszar and Romanov P. 2000. Using NOOAA/AVHRR products to monitor El Nino impacts: focus on Indonesia in 1997-1998. Bull. Amer. Meteor Soc. 2000; 81:1189-1205
Hendon HH. 2003. Indonesian Rainfall Variability: impacts of ENSO and Local Air-sea ‘Interaction, J. Climate, 16, 1775-1790.
Hamilton JD. 1994. Time Series Analysis. New Jersey: Princeton University Press.
Haryoko U. 2004. Pewilayahan Hujan untuk Menentukan Pola Hujan (Contoh Kasus Kabupaten Indramayu). Badan Meteorologi dan Geofisika.
Haryanto U. 1999. Response to Climate Change: Simple Rainfall Prediction Based on Southern Ossilation Index. Paper presented at The Second International Conference on Science and Technology for the Assessmant of Global Climate Change and Its Impacts on Indonesian Maritime Continent, 29 November-01 Desember 1999.
Hastie TJ, Tibshirani RJ. 1990. Generalized Additive Models. Washington: Chapman & Hall.
[IPCC] Intergovernmental Panel on Climate Change. 2007. Climate Change 2007 : The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change.
Johnson RA & Wichern DW. 2002. Applied Multivariate Statistical Analysis, New York: Prentice Hall,
Jolliffe IT. 2002. Principal Component Analysis. 2nd Ed. New York: Springer-Verlag Inc.
Kadarsah. Dipole Mode. http://kadarsah.wordpress.com/2008/04/03/dipole-mode/ [Juli 2010]
Kalfarosi D. 2009. Pemodelan Curah Hujan dan Redaman Hujan Dengan Model ARIMA di Surabaya [tesis]. Surabaya : Institut Teknologi 10 November Surabaya (ITS).
Kamman EE, Wand MP. 2003. Geoadditive Models. Appl Stat 52:1-18.
Koesmaryono Y, Las I, Aldrian E, Runtunuwu E, Pramudia A, Apriyana Y, Trinugroho W. 2009. LAporan Hasil Kegiatan. Pengembangan Standar Operasional Prosedur Adaptasi Kalender Tanaman Padi terhadap ENSO-IOD Berbasis Sumberdaya Iklim dan Air. LAporan KKP3T. Litbang DEPTAN IPB. (TIdak dipublikasikan).
Las I. 2008. Menyiasati Fenomena Anomali Iklim Nagi Pemantapan Produksi Padi Nasional pada Era Revolusi Hijau Lestari. Pengembangan Inovasi Pertanian I(2).
Little RJA & Rubin D.B. 1987. Statistical Analysis with Missing Data. New York: John.
Mason SJ & Graham NE. 1999. Conditional Probabilities, Relative Operating Characteristics, and Relative Operating Levels. American Metereological Society. 713-725.
MAcKinlay AC. 1997. Event Studies in Economics and Finance. Journal of Economic Literature, Vol. 35, No. 1. (Mar 1997), 13-39.
Mattjik AA, Sumertajaya IM. 2011. Sidik Peubah Ganda. Bogor: Departemen Statistika IPB.
Mauludiyanto A, Hendrantoro G, Purnomo MH, Suhartono. 2008. Pemodelan ARIMA dan Deteksi Outlier Data Curah Hujan sebagai Evaluasi Sistem Radio Gelombang Milimeter, submit ke JUTI (Jurnal Teknologi Informasi), FTI ITS Surabaya, Desember.
Mauludiyanto A, Hendrantoro G, Hery PM, Suhartono. 2009. Pemodelan Varima dengan Efek Deteksi Outlier Terhadap Data Curah Hujan. Jurnal Ilmiah Teknologi Informasi. Vol 7, No 3 (2009).
Morrison.1990. Multivariate Statistical Methods. McGraw-Hill.
Nail PE. 2009. Time Series Analysis Model For Rainfall Data In Jordan: Case Study For Using Time Series Analysis. American Journal of Environmental Sciences, 5(5), October 2009.
Nachrowi ND. Usman H. 2006. Pendekatan Populer dan Praktis Ekonometrika Untuk Analisis Ekonomi dan Keuangan. Depok: Fakultas Ekonomi Universitas Indonesia.
Naylor RL, Battisti DS, Vimont DJ, Falcon WP, and BurkeMB. 2007. Assessing the Risks of Climate Variability and Climate Change for Indonesian Rice Agriculture, Proc. Nat. Acad. Sci., 104, 7752-7757.
Rodriguez G. 2001. Smoothing and Non-Parametric Regression.
Ruchjana BN. 2005. Karakteristik Reservoir Minyak Bumi Melalui Pendekatan Spatio-Temporal. Laporan Riset Unggulan Terpadu XI Bidang Kelautan, Kebumian, dan Kedirgantaraan. Kementrian Riset dan Teknologi RI.
Saji NH, Goswani BN, Vinayachandran PN, Yamagata T. 1999: A Dipole in The Tropical Indian Ocean. Nature, 401, 360-363.
Scheffer J. 2002. Dealing with Missing Data. Res. Lett. Inf. Math. Sci. Vol 3, 153-160
Septicorini EP. 2009. Identifikasi Fenomena ENSO (El Nino-Southern Oscillation) dan IOD (Indian Ocean Dipole) [thesis]. Bogor : Program Pascasarjana, Institut Pertanian Bogor.
Sims CA. 1980. Macroeconomics and Reality. Econometrica. 48(1), 1-48.
Smith RL, Kolenikov S. 2004. Spatio Temporal Modeling of PM2.5 Data with Missing Value. J Geophysical Research. 108 (D24).
Stone CJ. 1985. Additive regression and other nonparametric models. Ann. Statist., 13(2), 689–705.
Suciantini. 2004. Evaluasi Prakiraan Sifat Hujan dan Penyusunan Model Prediksi Musim: Studi Kasus Kabupaten Indramayu [tesis]. Bogor : Program Pascasarjana, Institut Pertanian Bogor.
Sutikno. 2008. Statistical Downscaling Luaran GCM dan Pemanfaatannya untuk Peramalan Produksi Padi [disertasi]. Bogor: Program Pasasarjana, Institut Pertanian Bogor.
Swarinoto Y.S. 2004. Akurasi Spasial Teknik Prediksi Transformasi Wavelet untuk Curah Hujan Musiman. Jakarta : Badan Meteorologi dan Geofisika.
Tsiatis A .2006. Semiparametric Theory and Missing Data. New York: Springer.
Tsay RS. 2001. Analysis of Financial Time Series. New York: John Willey and Sons, Inc.
Wahba, G. 2000. Smoothing Splines in Nonparametric Regression. Technical Report No. 1024.
Webster RPJ, Moore AM, Loschnigg JP, and Leben RR. 1999. Coupled Ocean-Atmosphere Dynamics in The Indian Ocean During 1997-1998, Nature, 401, 356-359.
Wei WWS. 1990. Time Series Analysis: Univariate and Multivariate Methods. USA: Addison-Wesley Publishing Co.
Wigena A.H. 2006. Pemodelan Statistical Downscaling dengan Regresi Projection Pursuit untuk Peramalan Curah Hujan Bulanan Kasus Curah Hujan Bulanan di Indramayu [disertasi]. Bogor : Program Pascasarjana, Institut Pertanian Bogor (IPB).
Wilks D.S. 1995. Statistical methods in the atmospheric sciences: an introduction. New York : Academic Press
Wiratmo J. 1998. Sudah benarkah pemahaman Anda tentang La Nina dan El Nino? Bandung: ITB
Zoppou C, Roberts S, Hegland M. 2000. Spatial and Temporal Rainfall Approximation Using Additive Models. ANZIAM J, 42 (E): C1599-C1611.
