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具有Laplace边际分布的二元自回归模型的统计推断 被引量:3

Statistical Inference of Bivariate Autoregressive Model with Laplace Marginal Distribution
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摘要 考虑具有Laplace边际分布的二元一阶自回归时间序列模型,给出该模型的性质及参数的条件最小二乘估计,并讨论估计量的相合性和渐近正态性.最后给出数值模拟和实例分析. We considered a bivariate first-order autoregressive time series model with Laplace marginal distribution,gave the properties of themodel and conditional least squares estimation of parameters,and discussed theconsistency and asymptotic normality of estimators.Finally,numerical simulation and example analysis were given.
作者 陈晋 王德辉 CHEN Jin;WANG Dehui(Department of Foundation,The City College of Jilin Jianzhu University,Changchun 130114,China;College of Mathematics,Jilin University,Changchun 130012,China)
出处 《吉林大学学报(理学版)》 CAS CSCD 北大核心 2018年第6期1419-1422,共4页 Journal of Jilin University:Science Edition
基金 国家自然科学基金(批准号:11571051) 吉林省科技发展计划项目(批准号:20180101216JC)
关键词 二元自回归模型 BEAR(1)模型 NLAR(2)模型 条件最小二乘估计 bivariate autoregressive model BEAR(1)model NLAR(2)model conditional least squares estimation
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