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Statistical and Probabilistic Assessment for the Misorientation Angle of a Grain Boundary for the Precipitation of in a Austenitic Stainless Steel (II)

机译:奥氏体不锈钢中析出的晶界错位角的统计和概率评估(II)

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摘要

The distribution and prediction interval for the misorientation angle of grain boundary at which Cr_2N was precipitated during heating at 900 deg C for 10~4 sec were newly estimated, and followed by the estimation of mathematical and median rank methods. The probability density function of the misorientation angle can be estimated by a statistical analysis. And then the (1 - alpha) 100 percent prediction interval of misorientation angle obtained by the estimated probability density function. If the estimated probability density function was symmetric then a prediction interval for the misorientation angle could be derived by the estimated probability density function, In the case of non-symmetric probability density function, the prediction interval could be obtained from the cumulative distribution function of the estimated probability density function. In this paper, 95, 99 and 99.73 percent prediction interval obtained by probability density function method and cumulative distribution function method and compared with the former results by median rank regression or mathematical method.
机译:重新估计了在900℃加热10〜4 sec时Cr_2N析出的晶界的取向差的分布和预测间隔,随后进行了数学和中值秩方法的估计。取向差的概率密度函数可以通过统计分析来估计。然后,通过估计的概率密度函数获得(1-alpha)100%的取向差预测间隔。如果估计的概率密度函数是对称的,则可以通过估计的概率密度函数来得出误取向角的预测间隔。在非对称概率密度函数的情况下,可以从累积概率分布函数中获得预测间隔。估计概率密度函数。本文通过概率密度函数法和累积分布函数法分别获得了95%,99%和99.73%的预测区间,并通过中位数秩回归或数学方法与前者的结果进行了比较。

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