高斯新分布的理论与实践
首发时间:2016-08-15
摘要:正态分布是理论分布形态,它仅在对称的前提下成立。偏斜分布是实际分布形态,是统计学中普遍存在的随机现象。高斯分布在实际统计工作中不能精确地描述偏斜分布。高斯新分布是高斯分布的延伸及完善。它可以更精确地描述偏斜分布。本文从理论与实践应用的角度出发,综述前期的研究成果,对不同类别的统计对象所涉相应的数学模型进行规范性的补充和完善。目的是:在统计分析中更精确地揭示随机现象本质的数字特征和分布规律。
关键词: 正态分布 偏斜分布 高斯新分布 位置特征值 离散特征值
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The Theory and Practice of Gauss New-distribution
Abstract:The normal distribution is the theoretical distribution, which is established under the premise of symmetry. Skew distribution is the actual distribution which is a common phenomenon in statistics. Gauss distribution can not precise describe the skewed distribution in the actual statistical work. The Gauss new-distribution is the extension and improvement of Gauss distribution. It can describe skew distribution more precise. This article from the perspective of theory and practice application reviews previous research results, for different categories of statistical objects involved normative complement and perfect the corresponding mathematical model. The aim is to reveal the character and distribution regulation of the essence of random phenomena more precisely in statistical analysis.
Keywords: normal distribution skew distribution Gauss new-distribution position eigenvalue discrete eigenvalue
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