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用于重复测量的多元椭圆等高分布。

Multivariate elliptically contoured distributions for repeated measurements.

作者信息

Lindsey J K

机构信息

Biostatistics, Limburgs Universitair Centrum, Diepenbeek, Belgium.

出版信息

Biometrics. 1999 Dec;55(4):1277-80. doi: 10.1111/j.0006-341x.1999.01277.x.

Abstract

The multivariate power exponential distribution, a member of the multivariate elliptically contoured family, provides a useful generalization of the multivariate normal distribution for the modeling of repeated measurements. Both light and heavy tailed distributions are included. The covariance matrix retains its interpretation so that it can easily be structured for serial dependence and several levels of variance components. A crossover trial on insulin applied to rabbits, with a series of repeated measurements within each period, is analyzed by means of this distribution using autocorrelation and two levels of variance components.

摘要

多元幂指数分布是多元椭圆轮廓分布族的一员,它为重复测量建模提供了多元正态分布的一种有用推广。它既包含轻尾分布,也包含重尾分布。协方差矩阵保留了其解释意义,因此可以很容易地构建以体现序列相关性和多个层次的方差分量。通过使用自相关和两个层次的方差分量,利用这种分布对一项应用于兔子的胰岛素交叉试验进行了分析,该试验在每个时期内有一系列重复测量。

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