Fitting non-linear structural relationships using SAS procedure NLMIXED

被引：7

作者：

Patefield, M ^{[1
]}

机构：

[1] Univ Reading, Sch Appl Stat, Reading RG6 6FN, Berks, England

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN | 2002年 / 51卷

关键词：

Framingham heart study; mixed models; non-linear models; structural relationships;

D O I：

10.1111/1467-9884.00323

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Both linear and non-linear structural relationships can be formulated explicitly in terms of random-effects models. When the random effects are normally distributed, the SAS NLMIXED procedure can be used to fit such models to data by using maximum likelihood estimation. Any distribution for the data conditional on the random effects can be used although certain common distributions are built into the procedure. Techniques for detecting parameter unidentifiability are discussed. Examples covering a range of applications are given.

引用

页码：355 / 366

页数：12

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