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31. The concise dynamic description of the economic phylogenic from 1952 to 1982 is done by means of time series analysis and all around PCA in this article.

32. Drawing on the idea of edge operator to extract time series edge points, propose a novel piecewise linear representation algorithm that based on temporal edge operator.

33. We utilize the spectral analysis of time series to study the series of capital liquidity from 1999 to 2008, disclosing the information of cyclical fluctuation characteristics of capital liquidity.

34. In this paper , we present a nonparametric approach for checking the residuals of time series models.

35. But "we're presuming on the basis of what we found, if you have some kind of super-duper algorithm and you add our time series, its accuracy will go up, as well."

36. Based on the fractal structure of strange attractor and self-affine property of time series, a method is proposed for predicting chaotic time series.

37. As an important tool of testing time series stationarity, unit root test is always used, and cointegration test is also often implied for judging long equilibrium between nonstationary variables.

38. Applying phase space reconstruction method to divide time series into segments, we have mapped original series into multidimensional data space.

39. An independent sample method for original time series based on the least variance of cross correlation coefficient is introduced in this paper.

40. The composition, control principle and dynamic characteristics of time series pulse combustion control system applied to the annealing furnace in Beitai Ductile Cast Iron Pipe Plant are introduced.

40. Sentencedict.com is a online sentence dictionary, on which you can find good sentences for a large number of words.

41. The AR-GARCH model accurately fits the daily market turnover time series with very significant estimated parameters.

42. The authors also analyze the errors due to noise in measurement and put forward some measures to improve the accuracy of time series analysis with multiple mean method.

43. This paper, firstly analyzes the affect caused by the uncertainty, then studies the statistics and time series based method for spectrographic oil data processing and wear diagnosis. An example ...

44. In this thesis an economic forecasting system (IEFS) has been designed and implemented based on the models of time series forecasting and methodology of knowledge discovery.

45. The first one is chosen using time series method, and the second is obtained from measurements using the autocovariance function of the stationary stochastic process.

46. With this method, the fractal scaleless band of time-series can be identified and the correlative dimension of time series can be calculated according to the parameters given.

47. Based on PLR (piecewise linear representation) of time series, a new representation method of time-series based on trend turning point is proposed.

48. Moving average method is one of time series forecasting method, if time series have no apparent tendency moving, using moving average method can accurately reflect actual situation.

49. The aim was to compare and classify these literatures and put forward reference for scholars who research development, new techniques and trends of time series data mining.

50. In this paper, we use China's macro-year 1989-2007 time series data to test the consumer behavior assumptions and Chinese people's consumption function model presents in the former paper.

51. The evaluating of the approach. Appraise the advantage and deficiency of the method of random time series , and the questions that should be paid attention to while predicting in the real work.

52. RCS of space object is nonstationary time series, it is difficult to do feature extracting using common time series analysis methods.

53. We believe that this method may more reasonable and be useful in estimating long-memory time series.

54. The aim of this paper is to give a systematic account of asymptotic properties of the sample autocovariance, autocorrelation and partial autocorrelation functions of linear stationary time series.

55. Financial time series is composed of bond profit, foreign exchange rate, stock price, futures price, etc.

56. The multiple - goal decision method with time series was applied to the assessment of surface water quality.

57. Their similarity depends on the structure in the phase space of the time series of original observations fields.

58. The mode set method for time series of vibration signal is discussed in this paper, and its computer analysis program is compiled.

59. A mixed autoregressive moving average(MARMA) model is proposed for modeling nonlinear time series.

60. Another innovation of the paper is bringing the comparability mining technology of time series to the analysis of time series on stock market.