Inverse gamma kernel density estimation for nonnegative data

DOI10.1016/J.JKSS.2016.09.002zbMath1362.62080OpenAlexW2534499044MaRDI QIDQ526973

Yoshihide Kakizawa, Gaku Igarashi

Publication date: 15 May 2017

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2016.09.002

zbMATH Keywords

gamma kernelasymmetric kernel estimationboundary-bias-freeinverse gamma kernel

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (10)

Limiting bias-reduced Amoroso kernel density estimators for non-negative data ⋮ Nonparametric density estimation based on beta prime kernel ⋮ Nonparametric density estimation for nonnegative data, using symmetrical-based inverse and reciprocal inverse Gaussian kernels through dual transformation ⋮ Multivariate non-central Birnbaum-Saunders kernel density estimator for nonnegative data ⋮ Generalised gamma kernel density estimation for nonnegative data and its bias reduction ⋮ Unnamed Item ⋮ A class of Birnbaum-Saunders type kernel density estimators for nonnegative data ⋮ Asymptotic properties of Dirichlet kernel density estimators ⋮ Multivariate elliptical-based Birnbaum-Saunders kernel density estimation for nonnegative data ⋮ Higher-order bias corrections for kernel type density estimators on the unit or semi-infinite interval

Uses Software

• KernSmooth
• DLMF

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Varying kernel density estimation on \(\mathbb R_+\)
• New methods for bias correction at endpoints and boundaries
• Bias corrections for some asymmetric kernel estimators
• Re-formulation of inverse Gaussian, reciprocal inverse Gaussian, and Birnbaum-Saunders kernel estimators
• Weighted log-normal kernel density estimation
• A new non parametric estimator for Pdf based on inverse gamma distribution
• Large sample results for varying kernel regression estimates
• Moment density estimation for positive random variables
• An Improved Estimator of the Density Function at the Boundary
• Density estimation using inverse and reciprocal inverse Gaussian kernels
• Inequalities for Zero-Balanced Hypergeometric Functions
• Family of the generalised gamma kernels: a generator of asymmetric kernels for nonnegative data
• A generalized reflection method of boundary correction in kernel density estimation
• Probability density function estimation using gamma kernels

This page was built for publication: Inverse gamma kernel density estimation for nonnegative data