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本文根据川中某地１５０ｋｍ２范围内应用的７种放射性方法，在同一测点上获取的９个参数，共１９０２个测量数据，进行了统计分布特征研究。研究结果表明：７种放射性测量方法所获的原始数据具有３种统计分布类型──近似算术正态型、对数正态型、混合型。利用广义幂正态转换方法［１］将上述３种分布类型归结为一种分布──正态分布，获得了客观的区域背景值和异常下限值。为进一步的统计分析提供了一个较为合理的数学模型。
In this paper, based on seven kinds of radioactive methods applied in a radius of 150km2 in a certain area of Chuanzhong, nine parameters obtained at the same measuring point, a total of 1902 measurement data, the statistical distribution characteristics were studied. The results show that the original data obtained by the seven kinds of radioactive measurement methods have three kinds of statistical distribution ─ ─ approximate arithmetic normal type, logarithmic normal type, mixed type. Using the generalized power normal transform method [1], the above three types of distribution are summed up as a distribution - normal distribution, obtaining objective regional background and abnormal lower bound. It provides a more reasonable mathematical model for further statistical analysis.