Some asymptotic properties of an estimate of the survival function under dependence conditions

DOI10.1016/0167-7152(89)90128-4zbMath0677.62035OpenAlexW2073129937MaRDI QIDQ1123508

George G. Roussas

Publication date: 1989

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(89)90128-4

zbMATH Keywords

asymptotic behaviorasymptotic normalitymixingsurvival functiondependencehazard rate functionstrictly stationary sequence

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Nonparametric estimation (62G05) Reliability and life testing (62N05)

Related Items

Kernel estimation of the regression function with random sampling times, Nonparametrie recursive estimator for mean residual life and vitality function under dependence conditions, Joint asymptotic normality of kernel estimates under dependence conditions, with application to hazard rate, Asymptotic normality of the kernel estimate under dependence conditions: Application to hazard rate

Cites Work

• The estimation of the hazard function from randomly censored data by the kernel method
• Some new classes of multivariate survival distribution functions
• Hazard rate estimation under dependence conditions
• Estimation of the failure rate-a survey of nonparametric methods Part I: Non-Bayesian Methods
• Moment inequalities for mixing sequences of random variables
• Hazard analysis. I
• Nonparametric Estimation of the Transition Distribution Function of a Markov Process
• Bivariate Failure Rate
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