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Edgeworth Expansion and Bootstrap Approximation for Studentized Product-Limit Estimator with Truncated and Censored Data
Authors:Qihua Wang  Bing-Yi Jing
Affiliation:1. Academy of Mathematics and Systems Science, Chinese Academy of Science , Beijing , China;2. Department of Statistics and Actual Science , The University of Hong Kong , Pokfulam , Hong Kong qhwang@amss.ac.cn;4. Department of Mathematics , Hong Kong University of Science and Technology , Kowloon , Hong Kong
Abstract:The Yule-Walker estimators of the AR coefficients of a causal multidimensional AR model are obtained by replacing the autocovariances with their estimators in the Yule-Walker equations. It is shown that only unbiased-type estimators of the autocovariances yield consistency of the Yule-Walker estimators. Also, the asymptotic joint distribution of the Yule-Walker estimators is presented.
Keywords:Bootstrap approximation  Edgeworth expansion  Left truncation  Product-limit estimator  Random censorship
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