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Results 1 to 25 of 9283

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Disaggregation of time series modelsWEI, W. W. S; STRAM, D. O.Journal of the Royal Statistical Society. Series B. Methodological. 1990, Vol 52, Num 3, pp 453-467, issn 0035-9246, 15 p.Article

Bias in the sample autocorrelations of fractional noiseNEWBOLD, P; AGIAKLOGLOU, C.Biometrika. 1993, Vol 80, Num 3, pp 698-702, issn 0006-3444Article

Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH modelsZHONGFU TAN; JINLIANG ZHANG; JIANHUI WANG et al.Applied energy. 2010, Vol 87, Num 11, pp 3606-3610, issn 0306-2619, 5 p.Article

A Benchmarking Approach to Temporal Disaggregation of Economic Time Series by Related SeriesHEDHILI ZAIER, L; TRABELSI, A.Communications in statistics. Theory and methods. 2009, Vol 38, Num 18-20, pp 3561-3582, issn 0361-0926, 22 p.Article

Benchmarking of economic time seriesHILLMER, S. C; ABDELWAHED TRABELSI.Journal of the American Statistical Association. 1987, Vol 82, Num 400, pp 1064-1071, issn 0162-1459Article

An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustmentMARAVALL, Agustin.Computational statistics & data analysis. 2006, Vol 50, Num 9, pp 2167-2190, issn 0167-9473, 24 p.Article

Applying ARMA―GARCH approaches to forecasting short-term electricity pricesHEPING LIU; JING SHI.Energy economics. 2013, Vol 37, pp 152-166, issn 0140-9883, 15 p.Article

Another look at Box-Jenkins forecasting proceduresWEGMAN, E. J.Communications in statistics. Simulation and computation. 1986, Vol 15, Num 2, pp 523-530, issn 0361-0918Article

ARARMA vs ARIMA ― A study of the benefits of a new approach to forecastingMEADE, N; SMITH, I. M. D.Omega (Oxford). 1985, Vol 13, Num 6, pp 519-534, issn 0305-0483Article

Preliminary evaluation of the Victorian zero blood alcohol content legislation at alcohol times : an Australian case study in intervention analysisMOHAMMED OHIDUL HAQUE.Communications in statistics. Theory and methods. 1990, Vol 19, Num 10, pp 3881-3899, issn 0361-0926, 19 p.Article

Evaluation of hybrid forecasting approaches for wind speed and power generation time seriesJING SHI; JINMEI GUO; SONGTAO ZHENG et al.Renewable & sustainable energy review. 2012, Vol 16, Num 5, pp 3471-3480, issn 1364-0321, 10 p.Article

Measuring influence in dynamic regression modelsPENA, D.Technometrics. 1991, Vol 33, Num 1, pp 93-101, issn 0040-1706, 9 p.Article

Time series models in statistical process control: considerations of applicabilitySTONE, R; TAYLOR, M.Statistician (London. Print). 1995, Vol 44, Num 2, pp 227-234, issn 0039-0526Article

Deterministic seasonal models and spurious regressionsABEYSINGHE, T.Journal of econometrics. 1994, Vol 61, Num 2, pp 259-272, issn 0304-4076Article

Bayesian comparison of ARIMA and stationary ARMA modelsMARRIOTT, J; NEWBOLD, P.International statistical review. 1998, Vol 66, Num 3, pp 323-336, issn 0306-7734Article

On the invertibility of fractionally differenced ARIMA processesODAKI, M.Biometrika. 1993, Vol 80, Num 3, pp 703-709, issn 0006-3444Article

IL-22 : A critical mediator in mucosal host defenseAUJLA, S. J; KOLLS, J. K.Journal of molecular medicine (Berlin. Print). 2009, Vol 87, Num 5, pp 451-454, issn 0946-2716, 4 p.Article

Information transformation in a supply chain: a simulation studyGANG LI; SHOUYANG WANG; HONG YAN et al.Computers & operations research. 2005, Vol 32, Num 3, pp 707-725, issn 0305-0548, 19 p.Article

Welche Kältemittel in der Zukunft? = Which refrigerant in the future?DOÊRING, R.Die Kälte und Klimatechnik. 1990, Vol 43, Num 9, pp 472-482, issn 0343-2246, 6 p.Article

On concurrent seasonal adjustmentPIERCE, D. A; MCKENZIE, S. K.Journal of the American Statistical Association. 1987, Vol 82, Num 399, pp 720-732, issn 0162-1459Article

On models and methods for Bayesian time series analysisCARLIN, J. B; DEMPSTER, A. P; JONAS, A. B et al.Journal of econometrics. 1985, Vol 30, Num 1-2, pp 67-90, issn 0304-4076Article

Theoretical properties of linear predictors for ARIMA modelsNIEMI, H.Scandinavian journal of statistics. 1984, Vol 11, Num 2, pp 113-122, issn 0303-6898Article

Epidémiologie quantitative de la rougeole en France = Quantitative epidemiology of measles in FranceMary-Krause, Murielle; Valleron, Alain-Jacques.1991, 346 p.Thesis

Forecasting hepatitis epidemic situation by applying the time series modelYINPING CHEN; AIPING WU; HONGMIN FAN et al.International journal of simulation & process modelling (Print). 2012, Vol 7, Num 1-2, pp 42-49, issn 1740-2123, 8 p.Conference Paper

Prise en compte de la variabilité du sol dans les expériences agronomiques. Randomisation et modélisation = Randomization and spatial modeling adapted to soil heterogeneity in fiel experimentsBardin, André; Prum, Bernard.1990, 244 p.Thesis

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