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Estimation method of random number generation method and its parameters follow the multivariate non-normal distribution

机译:随机数生成方法的估计方法及其参数遵循多元非正态分布

摘要

PROBLEM TO BE SOLVED: To develop a distribution to approximate an experiential distribution by a multivariate nonnormal distribution using random numbers, following the Pearson distribution system and the general probability distribution.;SOLUTION: A random number generating method, which generates random numbers, following the multivariate nonnormal distribution based on the Yuan-Bentler method I on a computer, comprises a step of applying n-dimensional multivariate nonnormal distribution to an n-dimensional experiential distribution, by using the computer and a step to generate random numbers using the computer. The applying step performs application about third-order and forth-order moments of experiential distribution, by using the prescribed relational equation of third-order and forth-order moments. Parameters are estimated by a maximum-likelihood method, using the random numbers generating method. The random number generating method and the parameter estimation method are applied to simulations for a financial sector, ion implantation to a semiconductor or the like.;COPYRIGHT: (C)2004,JPO
机译:解决的问题:遵循Pearson分布系统和一般概率分布,使用随机数通过多元非正态分布建立近似于经验分布的分布;解决方案:遵循以下方法生成随机数的随机数生成方法:在计算机上基于Yuan-Bentler方法I的多元非正态分布包括通过使用计算机将n维多元非正态分布应用于n维经验分布的步骤和使用计算机生成随机数的步骤。施加步骤通过使用规定的三阶和四阶矩的关系方程来执行关于经验分布的三阶和四阶矩的施加。使用随机数生成方法通过最大似然法估计参数。随机数生成方法和参数估计方法应用于金融领域的仿真,半导体中的离子注入等。COPYRIGHT:(C)2004,JPO

著录项

  • 公开/公告号JP3708928B2

    专利类型

  • 公开/公告日2005-10-19

    原文格式PDF

  • 申请/专利权人 学校法人明治大学;

    申请/专利号JP20030082816

  • 发明设计人 永原 裕一;

    申请日2003-03-25

  • 分类号G06F7/58;

  • 国家 JP

  • 入库时间 2022-08-21 22:29:30

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