Bandwidth selection for kernel binomial regression

DOI10.1080/10485250601014230zbMath1151.62317OpenAlexW2011182458MaRDI QIDQ3426255

Hidenori Okumura, Kanta Naito

Publication date: 8 March 2007

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250601014230

zbMATH Keywords

plug-in methodweighted kernelscale adjustmentGSK approachrule-of-thumb method

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08)

Cites Work

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• An Effective Bandwidth Selector for Local Least Squares Regression
• Kernel Estimates of Dose Response
• Analysis of Categorical Data by Linear Models
• Kernel and Probit Estimates in Quantal Bioassay
• Weighted kernel estimators in nonparametric binomial regression
• Multivariate Bandwidth Selection for Local Linear Regression

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