| 1. | Autoregressive integrated moving average model
自回归积分滑动平均模型 |
| 2. | Autoregressive moving average model
自回归滑动平均模型 |
| 3. | Autoregressive moving average
自回归滑动平均 |
| 4. | Rate of convergence for multiple change - points estimation of moving - average processes
滑动平均过程多变点估计的相合速度 |
| 5. | Moving average model
滑动平均模型 |
| 6. | Compared to the traditional parameter - fixed autoregressive moving average ( arma ) method , the mep algorithm is adaptive and capable of tracking rtt dynamics rapidly
与传统的参数固定的自回归滑动平均( arma )方法比较， mep算法是自适应的并能够迅速动态地跟踪rtt 。 |
| 7. | In order to develop these analytical models into practically applicable forms , the forth order momentum of jons wap spectrum is estimated using the time - averaging technique ( glazman 1986 )
为获得便于应用的模式，本文采用glazman ( 1986 )滑动平均方法估计海浪谱矩。 |
| 8. | There are a lot of methods , for example , auto - regression model ( ar ) 、 moving average model ( ma ) 、 auto - regression moving average model and data mining 、 higher - order statistics which has been developed in recent years
时间序列分析方法也是多种多样,像传统的自回归模型、滑动平均模型、自回归滑动平均模型以及近年来迅速发展的数据挖掘和高阶统计量方法等等。 |
| 9. | Two - stage algorithms of parameter estimation for the autoregressive moving average ( arma ) models are presented , which are called two - stage recursive least squares algorithm ( 2 - rls ) and recursive least squares - pseudoinverse algorithm ( rls - pi )
本文提出了自回归滑动平均( arma )模型的两段参数估计算法：两段递推最小二乘算法( 2 - rls )和递推最小二乘-伪逆算法( rls - pi ) 。 |
| 10. | The observed data of temperature during 1954 ~ 2003 in hotan area were used , the annual and seasonal change trends are analyzed by moving - average method ; the statistical characteristics were calculated to analyze the variation feature of temperature within a year
摘要本文采用和田地区1954 - 2003年气温实测资料，使用滑动平均法计算气温年际及季节变化趋势；计算统计特征值来分析气温年内变化特征。 |
