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Wysłany: Pią 4:59, 10 Gru 2010
Temat postu: stivali ugg Theory and analysis of random sequence
Random sequence analysis in the measurement theory and application of test
Was Allan variance. A! I7 a S. Prediction can guide was the first time in the t-step prediction value of z. (), Office of difference prediction value of var [\Control forecast,
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, for example, if the home falls under the bad Ⅱ confidence interval II (1 + z) + Z (?) Who Ⅱ, (1 + c; ... ... + G a), in addition, the data out of control, for two reasons : (1) New gross error with the measured values should be picked off not to t (2) forecasts are biased, over time, the sequence of the model or parameters quietly changed, then the need to re-determine the model parameters. Where Ita / critical value for the normal distribution (Composition median, confidence factor), a significant level for the. [5] [6] [7] [8] [9] Port 0] [11] [12 references Zheng Dawei, etc., to improve the world with the AR series while services' Astronomy and Astrophysics, 2J, 2 (L98O), 122. Zheng Dawei, Chen Zhaoguo, earth rotation parameters predicted annual Shanghai Astronomical Observatory, Chinese Academy of Sciences, 4 (1982),
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, 116 a Hu Jinlun, precision crystal oscillator noise model in time domain measurement and analysis, the CAS Shanghai Astronomical Observatory and other research reports Shijiu En Anapplicationoftilethresholdautoregressionprocednretoclimateanaiysisandfore-casting. AdvancesAtmosphericSciences, 5,1 (1986), 134 ・ unitary pillow students, since the regression model to be Taiwan, Atmospheric Sciences, 6,4 (1982), 378 A Huang Wenjie,
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, proud of the long-term use of Bute ARIMA model some of the results reported, meteorological science and technology Bulletin, 4 Village, 1989. S. M. PanditandS. To Wu, TimSeriesandSystemAnalysiswithAppHea6ons, JohnWiley & Sons, 1983. An Hongzhi, etc., \Xiang Jing Wu et al,
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, \Computing Center, Chinese Academy of irrigation rate statistics groups, \Luoqiao Lin, statistical criteria for identifying the AIC, Mathematics in Practice and Theory, 4 (1981),
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, 49. TheoryandAnalysisofRandomSeriesandItsApplicationsinMeasurementXiaoMingyaoAbstract - Therandomseriestheoryisactuallyatheoryofhandlingthedyna-miedatainrandomprocesswithamodelizedparameterexpression. Inthispaper, allequationforpreciselycalculatingARIMA (aut0rgressive-integratedmovingaveragemo A, de1) parametershaeenderived. Ithasfollowingadvantages: (1) thenumberofmodelordercanbearbitrary, sothatitcanheappliedwidely; (2) theoverlapsolvingpro-cesfldecreasestheerrorofparametersthemselves ~ (3) thedigitaltransformskillmaybeusedtodecreasetheround-offerrorincalculation; (4) somerecursivemethodsri ~ akethecomputationmorerapidly. Itssomeapplicationsinmeasurementarealsodeseribed.
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