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区域化变量非正态分布的稳健性
引用本文:陈道贵,胡乃联,李国清.区域化变量非正态分布的稳健性[J].北京科技大学学报,2009,31(4).
作者姓名:陈道贵  胡乃联  李国清
作者单位:北京科技大学金属矿山高效开采与安全教育部重点实验室,北京,100083
基金项目:国家自然科学基金资助项目(No.50604003)
摘    要:从区域化变量分布的稳健性角度,借鉴产品加工质量精度控制的理论,基于Johnson分布曲线族提出了一套非正态数据转换方法,并设计了转换流程.以SPSS和Surpac矿业软件为工具,通过实际案例分析了传统数据转换方法和Johnson转换方法的应用效果.实践证明,采用上述方法转化后的数据开展统计分析、变异函数模型的拟合及验证、克立格估计等工作,更容易满足稳健性要求,并能从本质上减小估计误差,提高估计精度.

关 键 词:克立格估计  非正态分布  稳健性分析  Johnson转换  

Stationarity for the non-normal distribution of regionalized variables
CHEN Dao-gui,HU Nai-lian,LI Guo-qing.Stationarity for the non-normal distribution of regionalized variables[J].Journal of University of Science and Technology Beijing,2009,31(4).
Authors:CHEN Dao-gui  HU Nai-lian  LI Guo-qing
Abstract:Based on Johnson distribution curves and the theory of product process quality accuracy control,a method to transform non-normal distribution data was proposed from the view of regionalized variable distribution,and the transformation flow was also designed.With SPSS and Surpac mining software as tools,the applied efficiency of traditional data and Johnson transform methods was analyzed through several cases.It is proved that by using the transformed data of the proposed method,the statistical analysis,fitt...
Keywords:Kriging estimation  non-normal distribution  stationarity analysis  Johnson transform  
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