The paper presents the method of calculation of distribution loss using neural network MLQP. The precision of this method is much higher than of normal regression analysis method.
本章讨论了利用多层二次神经网络计算配电网线损的方法，其精确度远远高于常规的回归分析法。
The present method extends the traditional multiple regression analysis that is only suitable to normal distribution and complete data to Weibull distribution, extreme distribution and censored data.
传统的多元回归分析只适用于正态分布和完全数据的情况，而本文则将其推广到威布尔分布、极值分布和截尾数据的情况。
The comparisons between hypertensives and their matched controls, the comparisons between groups of high body weight and normal (or low) body weight and the multiple regression analysis were made.
无论作高血压病例配对比较、超重组与非超重组的对比研究或者多因子回归分析。
These are two kinds of difficult problems in Nonlinear Regression Analysis for their complexities and flexibilities in proceeding by hand without normal method to abide by.
这一点也是目前非线性回归分析中灵活性较高、人为因素复杂且无一般程式可供遵循的难点问题之一。
The traditional regression analysis is only suitable to complete data from normal distribution. In engineering, censored data is analyzed by group test method that requires a large number of samples.
传统回归分析只适用于来自正态分布的完全数据，对于截尾数据或威布尔分布数据则无能为力，目前工程上只能采用成组试验方法，结果导致试验量很大。
The traditional regression analysis is only suitable to complete data from normal distribution. In engineering, censored data is analyzed by group test method that requires a large number of samples.
传统回归分析只适用于来自正态分布的完全数据，对于截尾数据或威布尔分布数据则无能为力，目前工程上只能采用成组试验方法，结果导致试验量很大。
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