Multisample tests for scale based on kernel density estimation

DOI10.1016/S0167-7152(00)00035-3zbMath1054.62036MaRDI QIDQ1579541

Takamasa Mizushima

Publication date: 2000

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

U-statisticsKernel density estimationMultisample tests for scale

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Cites Work

• Unnamed Item
• Unnamed Item
• Using non-stochastic terms to advantage in kernel-based estimation of integrated squared density derivatives
• Estimation of integrated squared density derivatives
• Nonparametric estimation of an affinity measure between two absolutely continuous distributions with hypotheses testing applications
• Nonparametric estimation of the location and scale parameters based on density estimation
• A quadratic measure of deviation of two-dimensional density estimates and a test of independence
• Testing independence by nonparametric kernel method
• On some tests of homogeneity of variances
• Multi-sample scale problem: Unknown location parameters
• Remarks on Some Nonparametric Estimates of a Density Function
• Rank-Sum Tests for Dispersions
• On asymptotic properties of an estimate of a functional of a probability density
• A survey of nonparametric tests for scale
• A TEST FOR SYMMETRY BASED ON DENSITY ESTIMATES
• On the rate of convergence of an estimate of a functional of a probability density
• Asymptotic Efficiency of a Class of $c$-Sample Tests
• Properties of sufficiency and statistical tests
• On the Asymptotic Efficiency of Certain Nonparametric Two-Sample Tests

This page was built for publication: Multisample tests for scale based on kernel density estimation