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Results 1 to 25 of 15737

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A note on tests for nonlinearity in a vector time seriesHARVILL, J. L; RAY, B. K.Biometrika. 1999, Vol 86, Num 3, pp 728-734, issn 0006-3444Article

Origin of the usefulness of the natural-time representation of complex time seriesABE, Sumiyoshi; SARLIS, N. V; SKORDAS, E. S et al.Physical review letters. 2005, Vol 94, Num 17, pp 170601.1-170601.4, issn 0031-9007Article

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

A mode-fitting methodology optimized for very long helioseismic time seriesKORZENNIK, S. G.The Astrophysical journal. 2005, Vol 626, Num 1, pp 585-615, issn 0004-637X, 31 p., 1Article

Overview of the BlockNormal event trigger generatorMCNABB, J. W. C; ASHLEY, M; FINN, L. S et al.Classical and quantum gravity (Print). 2004, Vol 21, Num 20, pp S1705-S1710, issn 0264-9381Conference Paper

Approach to an irregular time series on the basis of the fractal theoryHIGUCHI, T.Physica. D. 1988, Vol 31, Num 2, pp 277-283, issn 0167-2789Article

Permanent and temporary components of a time series in market analysis and forecastingCRAWFORD, R. G; GEURTS, M. D; RINNE, H. J et al.Journal of statistical computation and simulation (Print). 1988, Vol 29, Num 2, pp 157-177, issn 0094-9655Article

Hidden information within series of measurements. Four examples from atmospheric scienceHELMES, L; JAENICKE, R.Journal of atmospheric chemistry. 1985, Vol 3, Num 1, pp 171-185, issn 0167-7764Conference Paper

Testing for unit roots in seasonal time seriesDICKEY, D. A; HASZA, D. P; FULLER, W. A et al.Journal of the American Statistical Association. 1984, Vol 79, Num 386, pp 355-367, issn 0162-1459Article

A note on inverse autocorrelationsABRAHAM, B; LEDOLTER, J.Biometrika. 1984, Vol 71, Num 3, pp 609-614, issn 0006-3444Article

Nonlinear Analysis of Chaotic Time Series in a Natural Circulation Boiling LoopKARMAKAR, Amab; PARUYA, Swapan.Industrial & engineering chemistry research. 2012, Vol 51, Num 50, pp 16467-16481, issn 0888-5885, 15 p.Article

High-Speed Time-Series CCD Photometry with AgileMUKADAM, Anjum S; OWEN, R; MANNERY, E et al.Publications of the Astronomical Society of the Pacific. 2011, Vol 123, Num 910, pp 1423-1433, issn 0004-6280, 11 p.Article

The Levy sections theorem revisitedFIGUEIREDO, Annibal; GLERIA, Iram; MATSUSHITA, Raul et al.Journal of physics. A, Mathematical and theoretical (Print). 2007, Vol 40, Num 22, pp 5783-5794, issn 1751-8113, 12 p.Article

On the rate of convergence of the innovation representation of a moving average processANSLEY, C. F; KOHN, R.Biometrika. 1985, Vol 72, Num 2, pp 325-330, issn 0006-3444Article

Quantitative forecasting ― the state of the art: econometric modelsFILDES, R.The Journal of the Operational Research Society. 1985, Vol 36, Num 7, pp 549-580, issn 0160-5682Article

Some mixing properties of time series modelsPHAM, T. D; TRAN, L. T.Stochastic processes and their applications. 1985, Vol 19, Num 2, pp 297-303, issn 0304-4149Article

Identifying persistent processes in systems analysis: a time series perspectiveLUSK, E. J.Journal of applied systems analysis. 1985, Vol 12, pp 85-91, issn 0308-9541Article

A note on a delayed autoregressive process in continuous timeTONG, H.Biometrika. 1983, Vol 70, Num 3, pp 710-712, issn 0006-3444Article

A simple method for monitoring routine statisticsHEALY, M. J. R.Statistician (London. Print). 1983, Vol 32, Num 3, pp 347-349, issn 0039-0526Article

Partial transfer entropy on rank vectorsKUGIUMTZIS, D.The European physical journal. Special topics. 2013, Vol 222, Num 2, pp 401-420, issn 1951-6355, 20 p.Article

The TAOS Project: Statistical Analysis of Multi-Telescope Time Series DataLEHNER, M. J; COEHLO, N. K; CHEN, W. P et al.Publications of the Astronomical Society of the Pacific. 2010, Vol 122, Num 894, pp 959-975, issn 0004-6280, 17 p.Article

Reconstructing attractors from scalar time series: a comparison of singular system and redundancy criteriaFRASER, A. M.Physica. D. 1989, Vol 34, Num 3, pp 391-404, issn 0167-2789Article

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

Inferences about the parameters of a time series model with changing varianceABRAHAM, B; WEI, W. W. S.Metrika (Heidelberg). 1984, Vol 31, Num 3-4, pp 183-194, issn 0026-1335Article

Recurrence analysis of quasiperiodicity in experimental fluid dataZOU, Y; THIEL, M; ROMANO, M. C et al.The European physical journal. Special topics. 2008, Vol 164, pp 23-33, issn 1951-6355, 11 p.Article

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