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Central limit theorems for LS estimators in the EV regression model with dependent measurements
  • ISSN号：1226-3192
  • 期刊名称：Journal of the Korean Statistical Society
  • 时间：2011.9.9
  • 页码：303-312
  • 相关项目：随机过程统计中若干大偏差估计及偏差不等式的研究
作者： Miao, Yu|Zhao, Fangfang|Wang, Ke|
同期刊论文项目
随机过程统计中若干大偏差估计及偏差不等式的研究
期刊论文 25
同项目期刊论文
On the Bahadur representation of sample quantiles and order statistics for NA sequences
Moderate deviations principle for products of sums of random variables
Some limit behaviors for the LS estimator in simple linear EV regression models
The Discounted Berry-Esseen Analogue for Autoregressive Processes
Asymptotic normality and strong consistency of LS estimators in the EV regression model with NA erro
Central limit theorems for moving average processes(*)
Some Limit Results for Pareto Random Variables
BOUNDS FOR THE WEIGHTED GINI MEAN DIFFERENCE OF AN EMPIRICAL DISTRIBUTION
Consistency for the LS estimator in the linear EV regression model with replicate observations
ALMOST SURE CONVERGENCE OF WEIGHTED SUMS
HAJEK-RENYI INEQUALITY FOR DEPENDENT RANDOM VARIABLES IN HILBERT SPACE AND APPLICATIONS
LIMIT BEHAVIORS OF THE DEVIATION BETWEEN THE SAMPLE QUANTILES AND THE QUANTILE
Large deviations for dependent heavy tailed random variables
An invariance principle for the law of the iterated logarithm for vector-valued additive functionals
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