基本释义:

平均季节移动

网络释义

1)average seasonal shift,平均季节移动

2)method of moving average by seasons,按季移动平均法

3)SARIMA model,季节自回归求和移动平均模型

4)seasonal autoregressive integration moving average model,季节自回归单整移动平均模型

5)SARIMA,季节自回归单整移动平均

6)Seasonal movement,季节性移动

用法和例句

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。

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

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

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)

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

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

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

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

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

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

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

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

Seasonal regression model applying for forecasting clinical blood demand

应用季节周期回归模型预测临床血液需求量

VAR Model and Volatility Analysis:An Empirical Study to Shanghai and Shenzhen Stock Market in Price Limits System

涨跌停板制度下沪深股市向量自回归模型及波动性的协整分析

The Functional-Coefficient Autoregression Forec AST Model of Per Capita GDP of China;

中国人均GDP的函数系数自回归模型的预测研究

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。

exponentially weighted moving average model

指数加权移动平均数模型

Data stream prediction model based on weighted moving average

基于加权移动平均的数据流预测模型

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。