本研究的目标是在MESCC已建立的模型动物中检验是否实验条件诱发的高血糖症会加速神经组织的退变。
The goal in this study was to determine whether experimentally induced hyperglycemia accelerates neurological decline in an established animal model of MESCC.
通过ARCH LM检验认为BD I对数序列存在高阶ARCH效应，并用GARCH（1，1）模型消除残差序列的条件异方差性。
High-level ARCH effect is certification in the BDI logarithm process by ARCH LM test, GARCH(1,1)model is used to eliminate the conditional heteroscedasticity.
我们所使用的统计学工具包括神经网络备选模型的条件数分析，假设检验，交叉验证等。
The tools we consider are the analysis of the numerical conditioning of the neural network candidates, statistical hypothesis tests, cross validation, and so on.
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