Perturbation diagnostics of autocorrelation coefficients in nonlinear models with AR(1) errors

XU Liang, YANG Ai-jun, LIN Jin-guan

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2008, Vol. 32 ›› Issue (06) : 116-118.

南京林业大学学报（自然科学版）
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2008, Vol. 32 ›› Issue (06) : 116-118. DOI: 10.3969/j.jssn.1000-2006.2008.06.026

Perturbation diagnostics of autocorrelation coefficients in nonlinear models with AR(1) errors

  • XU Liang, YANG Ai-jun, LIN Jin-guan
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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.

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XU Liang, YANG Ai-jun, LIN Jin-guan. Perturbation diagnostics of autocorrelation coefficients in nonlinear models with AR(1) errors[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2008, 32(06): 116-118 https://doi.org/10.3969/j.jssn.1000-2006.2008.06.026

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