time series造句
1. Moreover, the topics modeling of times series, possibilities of forecasting and statistical control of such models are included.
2. Trend Analysis of Time Series Data.
3. By time series analysis, we build models depicting the cutting tool states, coacervate information from dynamic date and construct feature vectors for discrimination.
4. Time series model can simulate and predict the increase of Quercus variabilis population by the difference, periodic method.
5. Secondly, time series trend analysis models in common use are introduced, whose illative process and applicability are also expatiated.
6. In addition, long term time series had long term dependency which could be identified by Hurst coefficients.
7. Further, through the phase space reconstruction of relating time series and fractal analysis, discussion to nonlinear evolution of the system with varying heating power is delivered.
8. Statistical data analysis, time series analysis, and error estimation will be discussed in the context of each lab.
9. Secondly, it expatiates grey theory and Time series Model theory.
10. Furthermore, general methods and procedure for economic time series forecasting models are proposed based on continuous parameter wavelet networks, which are used in forecast simulation of the tim.
10.try its best to gather and create good sentences.
11. The fuzzy time series forecasting differ from classic time series forecasting is lead in the conception, named membership function which contribute much to figure the method.
12. The forewarning control limits and time series regression judgment model are built up based on the reliability series model in a non-repairable system and Shewhart control charts.
13. The idea of seemingly unrelated autoregression model for time series was developed and applied to forecasts of Chinese inflation and foreign economy.
14. In the analysis of time series, the surrogate data test is often performed in order to investigate nonlinearity in the data.
15. Method Explaining changes of hospital indexes through drawing time series sequences and computing partial correlation coefficients.
16. The multivariable fuzzy time series Heurisistic mode is the easiest method follow.
17. The research investigates the consequences of some specific relaxations of these assumptions that are of practical relevance to economic time series analysis.
18. The research explores the determinants of strike activity using regression analyses of yearly time series data obtained from official statistics.
19. The class of models to be considered provides link between conventional time series and econometric models.
20. The research aims to develop new methods of multivariate time series modelling.
21. In this paper , a research on the outlier mining method for time series data is undertaken.
22. A fuzzy classification system was presented by combining the multidimensional time series fuzzy clustering with rule extraction to evaluate the credit.
23. The time variance law of low degree potential coefficients can be obtained from the time series of the Earth potential coefficients.
24. Researchers home or abroad have made many achievements in one of its branches—failure prediction technology based on time series.
25. The nonparametric method and semi - parametric method were focused in nonlinear time series analysis.
26. This paper discusses various methods of test of nonlinearity of time series. Real-life sea clutter data are tested with the IAAFT method combined with redundancy.
27. The basic idea and some kinds of the common time series models and the development characteristics of time series are explained in detail.
28. Then it makes a study and forecast of the earnings rate of five-year stock investment in U S stock market by time series analysis.
29. Fog frequency shows a pattern of two valleys at the beginning and ending of the 46-year period, and a wave trough in intermediate time series.
30. An average cycle which is about 20 days was discovered in the time series of SSE T-Bond Index.
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