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Results 1 to 25 of 338

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Asymptotic calibrationFOSTER, D. P; VOHRA, R. V.Biometrika. 1998, Vol 85, Num 2, pp 379-390, issn 0006-3444Article

Conditional probabilistic population forecasting : Featuring a collection of papers on population forecasting, IISANDERSON, Warren C; SCHERBOV, Sergei; O'NEILL, Brian C et al.International statistical review. 2004, Vol 72, Num 2, pp 157-166, issn 0306-7734, 10 p.Article

Méthodologie des essais préliminaires. Calcul de prévision de satisfaction dans le cas Gaussien = Methodology of the preliminary tests. Computation of satisfaction forecast in the Gaussian caseMERABET, Hayet.Revue de statistique appliquée. 2004, Vol 52, Num 3, pp 93-106, issn 0035-175X, 14 p.Article

Discrete grey forecasting model and its optimizationXIE, Nai-Ming; LIU, Si-Feng.Applied mathematical modelling. 2009, Vol 33, Num 2, pp 1173-1186, issn 0307-904X, 14 p.Article

Simpler probabilistic population forecasts: Making scenarios work : Featuring a collection of papers on population forecasting, IGOLDSTEIN, Joshua R.International statistical review. 2004, Vol 72, Num 1, pp 93-106, issn 0306-7734, 14 p.Article

Assumptions on fertility in stochastic population forecasts : Featuring a collection of papers on population forecasting, IALDERS, Maarten; DE BEER, Joop.International statistical review. 2004, Vol 72, Num 1, pp 65-79, issn 0306-7734, 15 p.Conference Paper

Using the Lee-Carter method to forecast mortality for populations with limited data : Featuring a collection of papers on population forecasting, INAN LI; LEE, Ronald; TULJAPURKAR, Shripad et al.International statistical review. 2004, Vol 72, Num 1, pp 19-36, issn 0306-7734, 18 p.Article

Bayesian forecasting and detecting structural changepoints in dynamic modelsXIAODONG WANG.Communications in statistics. Theory and methods. 1998, Vol 27, Num 6, pp 1535-1546, issn 0361-0926Conference Paper

Nonparametric forecasting : A comparison of three kernel-based methodsMATZNER-LØBER, E; GANNOUN, A; DE GOOIJER, J. G et al.Communications in statistics. Theory and methods. 1998, Vol 27, Num 7, pp 1593-1617, issn 0361-0926Article

An analysis of the flexibility of Asymmetric Power GARCH modelsANE, Thierry.Computational statistics & data analysis. 2006, Vol 51, Num 2, pp 1293-1311, issn 0167-9473, 19 p.Article

Combined qualitative/quantitative simulation models of continuous-time processes using fuzzy inductive reasoning techniquesCELLIER, F. E; NEBOT, A; MUGICA, F et al.International journal of general systems (Print). 1996, Vol 24, Num 1-2, pp 95-116, issn 0308-1079Article

Some simulations and applications of forecasting long-memory time-series modelsANSELMO REISEN, V; LOPES, S.Journal of statistical planning and inference. 1999, Vol 80, Num 1-2, pp 269-287, issn 0378-3758Conference Paper

On the decomposition problem of fuzzy setsESOGBUE, A. O; SONG, Q.Fuzzy sets and systems. 1998, Vol 98, Num 1, pp 57-66, issn 0165-0114Article

DARWIN : An evolutionary program for nonlinear modeling of chaotic time seriesALVAREZ, A; ORFILA, A; TINTORE, J et al.Computer physics communications. 2001, Vol 136, Num 3, pp 334-349, issn 0010-4655Article

Forecast modelling for rotations of principal axes of multidimensional data setsHUIWEN WANG; QIANG LIU.Computational statistics & data analysis. 1998, Vol 27, Num 3, pp 345-354, issn 0167-9473Article

Une modélisation de données spatio-temporelles par modèles ar spatiauxILLIG, Aude.Journal de la Société française de statistique. 2006, Vol 147, Num 4, pp 47-64, issn 1625-7421, 18 p.Article

Use of growth indices in Markov chain models for crop yield forecastingRAMASUBRAMANIAN, V; JAIN, R. C.Biometrical journal. 1999, Vol 41, Num 1, pp 99-109, issn 0323-3847Article

Artificial neural networks and bankruptcy forecasting : a state of the artPEREZ, Muriel.Neural computing & applications (Print). 2006, Vol 15, Num 2, pp 154-163, issn 0941-0643, 10 p.Article

Sur un modèle de série temporelle à conjoncture dans le tourisme = On a model of time series to tourism conjunctureESSEBBAR, Belkheir.Revue de statistique appliquée. 2004, Vol 52, Num 4, pp 55-70, issn 0035-175X, 16 p.Article

Simultaneous prediction intervals for autoregressive-integrated moving-average models : A comparative studySIU HUNG CHEUNG; KA HO WU; WAI SUM CHAN et al.Computational statistics & data analysis. 1998, Vol 28, Num 3, pp 297-306, issn 0167-9473Article

A novel method of short-term load forecasting based on multiwavelet transform and multiple neural networks : ISNN 2011ZHIGANG LIU; WENFAN LI; WANLU SUN et al.Neural computing & applications (Print). 2013, Vol 22, Num 2, pp 271-277, issn 0941-0643, 7 p.Article

A support vector machine based MSM model for financial short-term volatility forecasting : Contemporary Development of Neural Computation and ApplicationsBAOHUA WANG; HEJIAO HUANG; XIAOLONG WANG et al.Neural computing & applications (Print). 2013, Vol 22, Num 1, pp 21-28, issn 0941-0643, 8 p.Article

On generalised asymmetric stochastic volatility modelsTSIOTAS, Georgios.Computational statistics & data analysis. 2012, Vol 56, Num 1, pp 151-172, issn 0167-9473, 22 p.Article

Stochastic population forecasts based on conditional expert opinionsBILLARI, F. C; GRAZIANI, R; MELILLI, E et al.Journal of the Royal Statistical Society. Series A. Statistics in society (Print). 2012, Vol 175, pp 491-511, issn 0964-1998, 21 p., 2Article

Forecasting Time Series With Complex Seasonal Patterns Using Exponential SmoothingDE LIVERA, Alysha M; HYNDMAN, Rob J; SNYDER, Ralph D et al.Journal of the American Statistical Association. 2011, Vol 106, Num 496, pp 1513-1527, issn 0162-1459, 15 p.Article

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