论文部分内容阅读
本文以28个实际测定资料,经过242次不同切割后,对未检出平均值的位次变化规律,进行了分析。发现未检出平均值的位次与未检出所占的比重和资料的偏度有关。当未检出所占的比重渐渐增高以及偏度系数渐渐增大时,未检出平均值的位次有规律地由资料的最低检出值向零值移动。根据这个规律,本文提出了“位次估计法”估计未检出值。通过90个资料,581次切割,验证了该方法的估计结果,估计值与实际值的符合率为87%。
In this paper, after 28 times of actual cutting data, after 242 different cuttings, the change law of the average value of the undetected average was analyzed. The number of undetected averages was found to be related to the proportion of undetected proportions and skewness of the data. When the proportion of undetected increases gradually and the skewness coefficient gradually increases, the average of the undetected values regularly shifts from the lowest detected value of the data to zero. According to this law, this paper proposes an estimate of the undetected value of the “estimate method”. With 90 data and 581 cuts, the estimation results of this method are verified. The coincidence rate between the estimated value and the actual value is 87%.