regression forecasting

基本解釋

In order to simplify the problem in regression forecasting, we don t often consider gray information.
由于客觀世界上存在灰色信息，而通常的回歸預(yù)測(cè)法中為了問(wèn)題的簡(jiǎn)單化不考慮灰色信息。
We have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.
采用多元正交多項(xiàng)式回歸方法建立了冬小麥生產(chǎn)經(jīng)濟(jì)收益預(yù)測(cè)的多元正交多項(xiàng)式回歸模型。
Under given conditions, the some regression forecasting models of containing feign mistake regression coefficient, exactly correspond to the objective law of the target of study.
含佯謬回歸系數(shù)的回歸模型未必都不科學(xué)，在某些特定條件下，有些含佯謬系數(shù)的回歸預(yù)測(cè)模型可科學(xué)合理地反映研究對(duì)象的客觀變化規(guī)律。

regression model forecasting method 回歸模型預(yù)測(cè)法
Binary regression forecasting model 二元回歸預(yù)測(cè)模型
Automatic Regression Forecasting 廣義延拓算法
Linear Regression Forecasting 線性回歸預(yù)測(cè)
multiple regression forecasting 重還原預(yù)測(cè)英語(yǔ);重還原預(yù)測(cè);多重回歸預(yù)測(cè)

回歸預(yù)測(cè)
Otherwise, it introduces principle and process of regression forecasting, grey forecasting and optimization combination forecasting in detail.
另外，文章詳細(xì)介紹了回歸預(yù)測(cè)、灰色預(yù)測(cè)以及優(yōu)選組合預(yù)測(cè)方法的建模原理與過(guò)程。