我们的网站为什么显示成这样?

可能因为您的浏览器不支持样式,您可以更新您的浏览器到最新版本,以获取对此功能的支持,访问下面的网站,获取关于浏览器的信息:

|Table of Contents|

具有AR(1)误差的非线性混合效应模型中自相关系数的扰动诊断

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2008年06期
Page:
116-118
Column:
研究论文
publishdate:
2008-11-30

Article Info:/Info

Title:
Perturbation diagnostics of autocorrelation coefficients in nonlinear models with AR(1) errors
Article ID:
1000-2006(2008)06-0116-03
Author(s):
XU Liang YANG Ai-jun LIN Jin-guan
Department of Mathematics Southeast University, Nanjing 210096, China
Keywords:
AR ( 1 ) errors Perturbation diagnostic Random effects Autocorrelation coefficient Influence curvature
Classification number :
O212.2
DOI:
10.3969/j.jssn.1000-2006.2008.06.026
Document Code:
A
Abstract:
Random effects models are widely used to describe the characteristics of repeating measurement data. It is very necessary to make diagnosis for the models. In this paper, the influence curvature had been used to study perturbation diagnostics of autocorrelation coefficients in nonlinear models with AR( 1 ) errors. And the orange tree data was used to illustrate the results.

References

-

Last Update: 2013-05-20