Parameter estimation based upon nonparametric function estimators

DOI10.1080/03610928408828860zbMath0578.62043OpenAlexW2077809908MaRDI QIDQ3700609

Vincent N. La Riccia

Publication date: 1984

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

Full work available at URL: https://doi.org/10.1080/03610928408828860

zbMATH Keywords

asymptotic normalityGaussian processapproximationrandom censoringlinearreproducing kernel Hilbert spacerelative efficiencyKaplan-Meier quantile function

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Nonparametric estimation (62G05) General nonlinear regression (62J02)

Cites Work

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• Exponential models for directional data
• Influence functions for censored data
• An Approach to Time Series Analysis
• An asymptotically efficient closed form estimator for the three - parameter lognormal distribution
• Testing to Determine the Underlying Distribution Using Randomly Censored Data
• Strong approximations of some biometric estimates under random censorship
• Location and scale parameter estimation from randomly censored data
• LEAST-SQUARES ESTIMATION OF LOCATION AND SCALE PARAMETERS USING ORDER STATISTICS

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