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Results 1 to 25 of 94

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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

Forecasting-looking back and forward : Paper to celebrate the 50th anniversary of the Econometrics Institute at the Erasmus University, RotterdamGRANGER, Clive W. J.Journal of econometrics. 2007, Vol 138, Num 1, pp 3-13, issn 0304-4076, 11 p.Article

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

A comparison of missing-data procedures for arima time-series analysisVELICER, Wayne F; COLBY, Suzanne M.Educational and psychological measurement. 2005, Vol 65, Num 4, pp 596-615, issn 0013-1644, 20 p.Article

A Short-Term Ensemble Wind Speed Forecasting System for Wind Power ApplicationsTRAITEUR, Justin J; CALLICUTT, David J; SMITH, Maxwell et al.Journal of applied meteorology and climatology. 2012, Vol 51, Num 10, pp 1763-1774, issn 1558-8424, 12 p.Article

Séries temporelles = Time seriesARAGON, Yves.Techniques de l'ingénieur. Sciences fondamentales. 2009, Vol AFM3, Num AF614, AF614.1-AF614.23, docAF614.1 [24 p.]Article

An improved demand forecasting method to reduce bullwhip effect in supply chainsJAIPURIA, Sanjita; MAHAPATRA, S. S.Expert systems with applications. 2014, Vol 41, Num 5, pp 2395-2408, issn 0957-4174, 14 p.Article

Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in IndiaJHA, Girish K; SINHA, Kanchan.Neural computing & applications (Print). 2014, Vol 24, Num 3-4, pp 563-571, issn 0941-0643, 9 p.Article

Volatility modeling of rainfall time seriesYUSOF, Fadhilah; IBRAHIM LAWAL KANE.Theoretical and applied climatology. 2013, Vol 113, Num 1-2, pp 247-258, issn 0177-798X, 12 p.Article

Outlier Detection in Time Series Models Using Local Influence MethodJUN LU; LEI SHI; FEI CHEN et al.Communications in statistics. Theory and methods. 2012, Vol 41, Num 10-12, pp 2202-2220, issn 0361-0926, 19 p.Article

Forecasting monthly peak demand of electricity in India—A critiqueRAO RALLAPALLI, Srinivasa; GHOSH, Sajal.Energy policy. 2012, Vol 45, pp 516-520, issn 0301-4215, 5 p.Article

On least squares estimation for long-memory lattice processesBERAN, Jan; GHOSH, Sucharita; SCHELL, Dieter et al.Journal of multivariate analysis. 2009, Vol 100, Num 10, pp 2178-2194, issn 0047-259X, 17 p.Article

Studying co-movements in large multivariate data prior to multivariate modellingCUBADDA, Gianluca; HECQ, Alain; PALM, Franz C et al.Journal of econometrics. 2009, Vol 148, Num 1, pp 25-35, issn 0304-4076, 11 p.Article

The relationship between the Beveridge-Nelson decomposition and other permanent-transitory decompositions that are popular in economicsKUM HWA OH; ZIVOT, Eric; CREAL, Drew et al.Journal of econometrics. 2008, Vol 146, Num 2, pp 207-219, issn 0304-4076, 13 p.Article

Application of time series analysis for bridge monitoringOMENZETTER, Piotr; BROWNJOHN, James Mark.Smart materials and structures. 2006, Vol 15, Num 1, pp 129-138, issn 0964-1726, 10 p.Article

Medium term system load forecasting with a dynamic artificial neural network modelGHIASSI, M; ZIMBRA, David K; SAIDANE, H et al.Electric power systems research. 2006, Vol 76, Num 5, pp 302-316, issn 0378-7796, 15 p.Article

Test for parameter change in ARIMA modelsLEE, Sangyeol; PARK, Siyun; MAEKAWA, Koichi et al.Communications in statistics. Simulation and computation. 2006, Vol 35, Num 2, pp 429-439, issn 0361-0918, 11 p.Article

Forecasting wind speed with recurrent neural networksQING CAO; EWING, Bradley T; THOMPSON, Mark A et al.European journal of operational research. 2012, Vol 221, Num 1, pp 148-154, issn 0377-2217, 7 p.Article

Electricity demand analysis using cointegration and ARIMA modelling : A case study of TurkeyERDOGDU, Erkan.Energy policy. 2007, Vol 35, Num 2, pp 1129-1146, issn 0301-4215, 18 p.Article

Explicit representation of finite predictor coefficients and its applicationsINOUE, Akihiko; KASAHARA, Yukio.Annals of statistics. 2006, Vol 34, Num 2, pp 973-993, issn 0090-5364, 21 p.Article

Preliminary results for model identification in characterizing 2-D topographic road profilesKERN, Joshua V; FERRIS, John B.Proceedings of SPIE, the International Society for Optical Engineering. 2006, pp 622806.1-622806.10, issn 0277-786X, isbn 0-8194-6284-5, 1VolConference Paper

Power computations for intervention analysisMCLEOD, A. I; VINGILIS, E. R.Technometrics. 2005, Vol 47, Num 2, pp 174-181, issn 0040-1706, 8 p.Article

Application of SVR with chaotic GASA algorithm to forecast Taiwanese 3G mobile phone demandCHEN, Li-Yueh.Neurocomputing (Amsterdam). 2014, Vol 127, pp 206-213, issn 0925-2312, 8 p.Article

Global and decomposition evolutionary support vector machine approaches for time series forecastingCORTEZ, Paulo; DONATE, Juan Peralta.Neural computing & applications (Print). 2014, Vol 25, Num 5, pp 1053-1062, issn 0941-0643, 10 p.Article

Integration of structural health monitoring and fatigue damage prognosis : Interdisciplinary nd Integration Aspects in Structural Health MonitoringYOU LING; MAHADEVAN, Sankaran.Mechanical systems and signal processing. 2012, Vol 28, pp 89-104, issn 0888-3270, 16 p.Article

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