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检验导出的等值新方法及其表现探讨
The New Equating Methods Derived from Test Statistic and Their Performances
【摘要】 该文受Berkson将检验方法用于估计未知参数的启发,根据三个拟合优度统计量导出三种新的求取等值系数的方法,即:平方根等值方法(Square Root criterion,SQRTcrit)、对称相对熵等值方法(Symmetric Relative Entropy criterion,SREcrit)、加权等值方法(Weighted criterion,Wcrit),即Haebara准则的加权式。虽然在被检验的两个分布列很接近时,这三个多项拟合优度检验方法是渐近等价的,然而用它们求取等值系数时,Monte-Carlo模拟结果表明这三种新等值方法的行为表现存在差异。它们之间的差异和随机误差的大小有密切关系,即与项目参数估计的精度有关;还与等值系数A的范围有关。
【Abstract】 This paper is inspired by applying Test Statistic to estimate unknown parameter,three new solving the equating coefficients methods(for short,equating method) are proposed in the light of goodness_of_fit test statistic,that are Square Root method,Symmetric Relative method,Weighted method which is the Weighted Haebara method.When two distributions are approximate,the three goodness_of_fit test statistic are near equivalent.But what is the result about the three equating methods derived from test statistic? Monte-Carlo study shows that there are differences among three equating methods.The difference has closely relationship with estimation random error and the domain of equating coefficient A.
【Key words】 square root method; weighted method; symmetric relative entropy method; Monte-Carlo simulation;
- 【文献出处】 心理学探新 ,Psychological Exploration , 编辑部邮箱 ,2007年01期
- 【分类号】B841.2
- 【下载频次】159