1)SARIMA季节自回归单整移动平均
英文短句/例句
1.Recursive Forecasting Method for Elevator Traffic Flow Based on SARIMA;基于季节自回归单整移动平均模型的电梯交通流递归预测方法
2.Application of ARIMA Model to Drug Storeroom in Drug Purchasing Prediction自回归整合移动平均模型在医院药库采购预测中的应用
3.Research on the Damage Identification of Girder Bridge Structures Based on Auto-Regressive Moving Average Model;基于自回归移动平均模型的梁桥损伤识别研究
4.A type of seasonal integer-valued compound autoregressive model-SINCAR(1);一类季节性整值复合自回归模型——SINCAR(1)
5.Autoregressive Integrated Moving Average Model in Predicting the Amount of Transfusion Out-patients自回归移动平均模型在预测门诊输液人次中的应用
6.The Studying and Applying of MultidimensionalAutoregression Moving Average Models;多维自回归滑动平均模型研究与应用
7.Wind Speed Prediction Research Based on Double ARMA Models双自回归滑动平均模型风速预测研究
8.A convenient way for autoregressive moving average model order determination autoregressive moving average(n,n-1) modeling strategy;自回归滑动平均建模的一种简便定阶方法 自回归滑动平均(n,n-1)建模策略
9.In order to measure seasonal variation we typically use the ratio-to-moving average method.为了度量季节变动，我们通常使用移动平均比率法。
10.The technique is often used to eliminate seasonal components is from data, for which a 12-month moving average would be needed.这种技术经常被用来消除季节因素，对此，需要12个月的移动平均数。
11.Estimation of the Auto-regression Moving Average Process with Heavy Tailed;具有重尾分布的自回归滑动平均过程的参数估计
12.Short Term Forecast of Electricity Price Based on Mixed Autoregressive Moving Average and Hidden Periodic Model;基于混合自回归滑动平均潜周期模型的短期电价预测
13.Short-Term Load Forecasting Based on ARIMA Transfer Function Model基于累积式自回归动平均传递函数模型的短期负荷预测
14.Two-stage Identification Methods for ARMA Models Using RLS基于RLS的自回归滑动平均模型的两阶段辨识方法
15.The process of producing a shift of the average value is called rectification.产生平均值移动的过程叫做整流。
16.Life organ ization adopt single direction regulate, life unify. Steady and turn to move vivid.升降机构采用单向整体调节，升降统一、平稳、转动自如。
17.seasonally adjusted data调整季节变动后的数据
18.seasonally adjusted figure调整季节变动后的数字
相关短句/例句
seasonal autoregressive integration moving average model季节自回归单整移动平均模型
3)SARIMA model季节自回归求和移动平均模型
1.For comparison,the two component models,namely the SARIMA model and GRNN model,are used to forecast the short-term traffic flow.为了更精确地预测短期交通流,提出由季节自回归求和移动平均模型(SARIMA)和广义回归神经网络(GRNN)模型所构成的组合模型(SARIMA-GRNN模型),该模型结合了时间序列模型和神经网络模型进行时间序列预测的优点。
4)ARMA自回归移动平均
5)auto-regressive fractiona lintegrated moving average分整自回归移动平均模型
6)Autoregressive Integrated Moving Average( ARIMA)自回归整合滑动平均(ARIMA)
延伸阅读
自适应自整定调节分子式：CAS号：性质：在调节系统中，对象的动态特性往往是变化的,如果变化不大或调节的质量要求不高时，可以采用固定规律的调节器，假若变化大，质量要求又高时，需要选择可变规律调节器。调节器参数的改变是直接按照对象特性的变化进行的，叫作自适应调节。对象的识别和调节器的规律的计算都用一个计算装置进行，就叫自适应自整定调节，或简称自整定调节。
