成矿预测中非参数蒙特卡洛模拟方法研究

非参数方法是在成矿预测中、当统计数据不服从或不完全服从现则分布时的一种蒙特卡洛模拟形式 非参数方法采用拉格朗日插值函数和三次条样函数,并均满足密度函数的条件.可以对统计数据进行拟合.借以建立各种抽样模型 即便是离散型数据.也可用牛顿插值法为其建立非参数抽样模型 因而.它具有算法统一.编程简单和有利于计算机自动化模拟等优点.具有广阔的应用前景

RESEARCH ON THE NONPARAMETRIC MONTE-CARLO SIMULATION METHOD IN PREDICTION OF MINERALIZATION

Nonparametric method is the Monte-Carlo simulation form when the statistical data are not or uncompletely subordinated to regular distributional laws. The nonparametric method adopts Lagrage interpolational and Cubic-Spinal Functions, which can be used to imitate the statistical data and so as to build the different sampling models since that they satisfy the conditions of density function. The sampling models can be also built by Newton interpolation function even for the discrete data. So, the nonparametric simulated method is characterized by unanimity of algorithm, simple programming and in favour of computer automatic simulations, and should be widely used in the foreseeable future undoubtedly.