随着像元尺度变大,LAI的标准差增大,但植被指数与LAI的相关系数并不降低。
With the larger pixel scale, standard deviation of LAI increased, but the correlation coefficients of vegetation index and LAI are not reduced.
由于交叉验证均方标准差都有所降低,说明MSC预处理能够基本消除干扰因素的影响。
Because the RMSECV reduce, it can make out that MSC can remove the effect of disturbing factor.
So, the optimal thing to do if you live in a world like this n is to get n as large possible and you can reduce the standard deviation of the portfolio very much and there's no cost in terms of expected return.
如果现实中也这样简单的话,那么你就尽量增大,这样就能让投资组合的标准差,就会大大降低,从预期收益率的角度来看,这样做的成本是零。
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