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The behavior of residuals of linear on parameters regression MLS-model with the increase of the number of parameters Pt.2 the interval for the residuals series. the problem of crude errors

机译:参数回归MLS模型上线性残差的行为随着参数数量Pt.2的增加而增加,即残差序列的间隔。粗略错误的问题

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摘要

The distribution of residuals in one series of measurements is obtained. It's shown, that the t-interval for residuals, which is usually used, is always wider than the correct one. The question of gross errors detection on residuals' plots is discussed. The reliable crude errors detection is possible only when the ratio of the number of parameters of the model to the number of points is very small (≤0,1).
机译:获得一系列测量中的残差分布。结果表明,通常使用的残差t间隔总是比正确的t间隔宽。讨论了残差图上的总误差检测问题。仅当模型的参数数量与点数量的比率很小(≤0.1)时,才可能进行可靠的粗略错误检测。

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