Optimal weights for general \(L^ 2\) distance estimators

DOI10.1016/0167-7152(84)90009-9zbMath0543.62032OpenAlexW2072153111MaRDI QIDQ796208

Vincent N. La Riccia

Publication date: 1984

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

Full work available at URL: https://doi.org/10.1016/0167-7152(84)90009-9

zbMATH Keywords

asymptotic normalityreproducing kernel Hilbert spaceminimum distance estimatorsoptimal weight function

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Nonparametric estimation (62G05)

Cites Work

• Weighted \(L^ 2\) quantile distance estimators for randomly censored data
• The minimum distance method of testing
• Asymptotic properties of weighted \(L^ 2\) quantile distance estimators
• Nonparametric estimation of partial transition probabilities in multiple decrement models
• Nonparametric inference for a family of counting processes
• An Approach to Time Series Analysis
• Strong approximations of some biometric estimates under random censorship
• On minimum cramer-von mises-norm parameter estimation
• Theory of Reproducing Kernels
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