According to the students' positive rates of HBsAg,the grey model and moving average method were conducted for the dynamic models of HBsAg in Beijing Normal University in 1991-1995.Forecasting results:the relative errors of the positive rate were 6.78% in boy undergraduates and 15.37% in girls respectively in 1996.
Taking the port throughput of a port from 1998 to 2004 as the original data and adopting "the minimum value of the sum of error square"as the optimal rule,a combined forecasting model was established by combining Moving Average Method and GM(1,1) model to forecaste the port throughput of a port from 2006 to 2010.
This includes the Bayesian inference theory about the Autoregressive model (AR), the moving average model (MA), the Autoregressive moving average model (ARMA) and the Vector Autoregressive model (VAR).
An eight points moving-average digital filter is used to eliminate 50Hz line interference and smooth the high frequency noise. The derivative ECG is utilized to recognize the beginnings and ends of QRS and peaks of R waves. The algorithm of cardiac arrhythmia based on RR intervals and QRS duration is used foi real-time automatic arrhythmia monitoring.
采用8点移动平均数字滤波以消除50Hz 工频噪声和平滑高频杂音,采用微分方法,识别QRS 波起点,终点和 R 波顶点,由 RR 间隔和 QRS 宽度建立判别心律失常的算法,实现实时的心律失常的自动监护。
Using the grade data of flood and drought disasters in Huanghuaihai plain region from the national natural disaster historical database,this paper adopted a time series analysis method,which was building an auto-regression moving-average(ARMA) model about flood and drought disasters. Also,the posterior forecast was made for flood and drought disaster according to the model. Result shown that using the ARMA model is potential for forecst the annual trend change of the flood and drought disaster.
In this scheme,decoding time of each frame is predicted using moving-average method before the frame is decoded. The voltage of CPU to decoding is switched dynamically with predictive results in order to reduce energy consumption.
The fluctuation at the extreme old ages on the original age-specific sex ratio curves for China in the years 1953, 1964 and 1982 tvere analysed. The main facters causing fluctuation are the differential age-heaping between both sexes and the quantity of population. The regulated curves by moving mean are much better than the original curves.
The original data of age and sex specific constitution of population from the four censuses of China after smoothed by moving mean are ultilized to analyse the change of two sex age specific survival rates and their difference during intercensal periods and age specific sex ratios of each census at older ages.
This paper explores the mean regression algorithm which combines the moving mean algorithm and regression algorithm to calculate the time to peak——that is the key problem of the parameter evaluation of the switching impulse.
Many technical analysis can be used. For example, running average, RSI, PE, dynamic analysis , energy analysis and so on. Zeng yuanming had discussed these five methods, we can see dynamic analysis is a good technical analysis.
Two methods of signal smoothing were considered: square-wave (moving average) and triangular (weighted average) filters.
On Guaranteed Estimation of the Spectral Density of an Autoregression-Moving Average Process
An estimate for the spectral density of a stationary autoregression-moving average process with a given mean-square accuracy is proposed.
When the interval used for the moving average is increased to 8-12 years, a quasi-22-year rotational period appears.
We firstly propose a method to fit the fractional autoregressive integrated moving average (FARIMA) models to four actual wireless traffic traces and a traffic prediction based on the upper probability limit.