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61. Aiming at the abnormity of the phase and groove number, hardware redundancy and difference method is used to forecast time series and the problems are resolved.

62. A time series factor analysis was conducted utilizing the history data, from two points of view: the demand of health service and the the providing capacity of health fund.

63. For example, the International Financial Statistics has a header record which describes a time series and the header record is followed by a number of records which contain the actual time series.

64. Time series forecasting models of total food-grain consumption in China were selected by using SPSS, and were built based on the correlative relationship between quantity of consumption and time.

65. This paper proved that a frequency stochastic sequence obtained from a stationarily correlated time series by using discrete Fourier transform is orthogonal.

66. In this thesis we propose three new data flow models: a time series communication model, a processor allocation model and a new data flow architecture.

67. First presented is a method of regression analysis combined with random time series technique for analysis of monitoring data of dams.

68. Use a method of time series piecewise linear representation based on feature points as a way for pattern representation.

69. Making use of time series model and other econometric approach, this article partitions the trend of China's GDP data, and repartitions China's economic cycle on the grounds of the empirical results.

70. A time series forecasting model, based on hierarchical genetic algorithm and BP neural network,[www.Sentencedict.com] was proposed.

71. De-noise filter method based on single value decomposition is applied to preprocess traffic volume time series, and a radical basic function neural network is trained for prediction.

72. In order to derive a relatively noise-free time series from the GPS results, an integrated method based on adaptive noise cancelling principles and wavelet de-noise method is presented.

73. Furthermore we assume that each observation of the time series has the same expectation function, standard deviation, and probability distribution function.

74. The limitlessness, mobility, and irregularity of time series data stream make the traditional frequent-pattern mining algorithms difficult to extend to the mining problem of time series data stream.

75. The support vector machine (SVM) was combined with genetic algorithm (GA) to establish a model for predicting short-term chlorophyll a concentration nonlinear time series.

76. The periodic mean superposition method can predict the result through decomposing the hydrological time series into several periodic waves, extrapolating the periodic waves, and linear superposition.

77. The article introduces a temporal association rule model based on time series data. According to the definition, two algorithms are developed and compared.

78. At the same time, the time series applying on model analysis is discussed.

79. The linear interpolation and bilinear interpolation were employed to obtain the values of the proper modes on locations where the wind pressure time series are to be predicted.

80. As one of the branches of statistics, time series analysis focuses on the variation characters and trend of discrete ordered data series mainly.

81. We do the initial identification and the theoretical analysis with the autocorrelation function towards the time series of HSI daily closing quotation.

82. Then, within-plot time series error autocorrelation of basal area data and cutting intensity which were expressed with dummy variable were taken into account in mixed model.

83. In this paper, wind speed time series simulation methods and AIC rule is elaborate.

84. Currently, in the actual production, MRP system is calculated on a time span through sub-total demand and net demand, and to express the demand for materials with the intermittent time series.

85. In this paper we research mainly the ergodic property of the output time series, and we obtain the ergodic state of the output time series in the market economy conditions.

86. The identification method for the one dimension time series, open loop and closed loop system are developed by use of model ARMA.

87. Some results showed as follows. (1) It was found that the time series of outbreak of the locust in Henan Province was stochastic sequence using the way of time series analysis.

88. Many of the core concepts from simple linear regression, for example, establish a good foundation for understanding Multiple Regression, Factor Analysis, Time Series, and so on.

89. According to the phase space reconstruction of a single variate time series, a new phase space delay reconstruction method based on multivariate time series of complex systems is proposed.

90. In the paper, we construct a new seasonal adjustment method of time series on the basis of the structural time series model.