Multivariable Dispersed Reply Model on Maximum Likelihood Estimate Method

摘要：

To appraisal of the multi-dimensional probability density, mostly using numerical integration and MCMC value optimization method. Like this not only makes the computation load to be big, moreover, when the integral number of times is high, is quite difficult regarding the actual data analysis. This researchs goal is gives the probability density function approximate formula of the generalized linearity mixed model, with this formula regarding the multivariable discrete distributions extrapolation question and carries on the analysis well.

关键词： maximum likelihood estimate probability density mixed model analysis

作者: XIONG Guojing

作者单位: School of Economy and Management, Nanchang University, P.R.China, 330031

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 587-589

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）