Some Limit Theorems of Survival Function Estimator form-Dependent Processes

DOI10.1080/03610921003764209zbMath1279.62060OpenAlexW2031181319MaRDI QIDQ3015926

Yu Miao, Ying-Xia Chen

Publication date: 13 July 2011

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610921003764209

zbMATH Keywords

large deviations principleBerry-Esséen bounduniform moderate deviationsCramér-type large deviation\(M\)-dependent random variablessurvival function estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Large deviations (60F10)

Related Items

A note on the almost sure central limit theorem for the product of partial sums of m-dependent random variables

Cites Work

• Unnamed Item
• Estimation of the survival function for stationary associated processes
• Moderate deviations for \(m\)-dependent random variables with Banach space values
• Probabilities of Large Deviations for Random Vectors
• Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
• Approximation Theorems of Mathematical Statistics
• Non-Uniform Estimates, Moderate and Large Deviations in the Central Limit Theorem form-Dependent Random Variables