A strong law of the empirical density function

DOI10.1007/BF02019438zbMath0384.60020OpenAlexW1995358998WikidataQ114852617 ScholiaQ114852617MaRDI QIDQ1248989

Pál Révész

Publication date: 1978

Published in: Periodica Mathematica Hungarica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02019438

Mathematics Subject Classification ID

Strong limit theorems (60F15) Foundations of stochastic processes (60G05)

Related Items (6)

Unnamed Item ⋮ Large sample properties of kernel-type score function estimators ⋮ Approximations of some hazard rate estimators in a competing risks model ⋮ On the law of the logarithm for density estimators ⋮ Strong laws for density estimators of Bernstein type ⋮ Sharp rates of convergence of maximum likelihood estimators in nonparametric models

Cites Work

• Unnamed Item
• Consistency of a certain class of empirical density functions
• On some global measures of the deviations of density function estimates
• On empirical density function
• An approximation of partial sums of independent RV'-s, and the sample DF. I

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