A nonparametric data based univariate density function estimate

DOI10.1016/0167-9473(87)90002-8zbMath0606.62041OpenAlexW2074920176MaRDI QIDQ1084798

Russell F. Kappenman

Publication date: 1987

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(87)90002-8

zbMATH Keywords

outlierssmoothing parameterkernel density function estimateSimulation studiesmean integrated squared errors

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (4)

Adapting the classical kernel density estimator to data ⋮ A note on quantile estimation by the kernel method ⋮ Nonparametric estimation of dose-response curves with application to ED50 estimation ⋮ Comments on a data based bandwidth selector

Cites Work

• Monte Carlo Study of Three Data-Based Nonparametric Probability Density Estimators
• Kernel density estimation revisited
• Unnamed Item

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