variance component model 中文意思是什麼
variance component model
解釋
方差分子模式-
The essential idea was that an incomplete data set including missing values was partitioned into several fuzzy clusters by using local principle component with least variance, and through solving the general inverse matrix of the data to obtain the principle components of each sub - clusters, the missing values in clusters could be estimated based on local principal components utilizing a simple linear model
其基本思想是,先利用具有最小方差的局部主成分,把包含有遺漏值的不完備數據集劃分成多個模糊聚類,然後通過求解廣義逆矩陣來獲得各個子聚類的主成分,最終在局部主成分的基礎上通過簡單的線性方程模型去佑計聚類中的遺漏值。 -
Conclusion variance component model can appraise the situation that the individual fill in the questionnaire effectively and rationally remove those low - validity cases from data set
結論方差成分模型可用於評價個體完成問卷的情況,對個體效度偏低的數據可以合理地剔除。 -
Variance component model
方差分子模式 -
Linear models are especially important statistical models, including linear regression model, variance and analysis, covariance and analysis, and variance and component one etc.
線性模型是很重要的一類統計模型,它包括線性回歸模型、方差分析模型、協方差分析模型和方差分量模型等等。
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