Kernel-based density estimation using censored, truncated or grouped data

DOI10.1080/03610928308828598zbMath0551.62023OpenAlexW2148798809MaRDI QIDQ3343247

Michael D. Titterington

Publication date: 1983

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

Full work available at URL: https://doi.org/10.1080/03610928308828598

zbMATH Keywords

smoothingconsistencytruncationincomplete datagrouped datacensoringimputationdensity estimationintegrated mean squared errorkernel functions

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (4)

Density estimation under simple partial censoring ⋮ Modeling Bromus diandrus seedling emergence using nonparametric estimation ⋮ Imputation of missing values using density estimation ⋮ Nonparametric kernel density estimation for general grouped data

Cites Work

• Strong uniform consistency for nonparametric survival curve estimators from randomly censored data
• Remarks on Some Nonparametric Estimates of a Density Function
• Choosing the window width when estimating a density

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