Local Smoothing for Kernel Distribution Function Estimation

DOI10.1080/03610918.2013.795591zbMath1328.62203OpenAlexW1988141591MaRDI QIDQ5259136

Santanu Dutta

Publication date: 24 June 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.795591

zbMATH Keywords

bootstrapdistribution function estimationkernel-based estimator

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (3)

Kernel based estimation of the distribution function for length biased data ⋮ Deconvolution of cumulative distribution function with unknown noise distribution ⋮ Density estimation via the random forest method

Cites Work

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• Approximation Theorems of Mathematical Statistics
• Kernel estimation of multivariate cumulative distribution function
• Bandwith selection for the smoothing of distribution functions
• Multistage plug—in bandwidth selection for kernel distribution function estimates
• Local Smoothing Using the Bootstrap
• A New Kernel Distribution Function Estimator Based on a Non‐parametric Transformation of the Data

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