A nonparametric test of symmetry based on the overlapping coefficient
From MaRDI portal
Publication:5124808
DOI10.1080/02664761003692365OpenAlexW2014694474MaRDI QIDQ5124808
Hani M. Samawi, Amal Helu, Robert L. Vogel
Publication date: 30 September 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664761003692365
bootstrap methodkernel density estimationtest of symmetrypower of the testMatusita's measureMorisita's measureWeitzman's measureoverlap coefficients
Related Items (3)
Kernel method for overlapping coefficients estimation ⋮ Kernel method for estimating overlapping coefficient using numerical integration methods ⋮ Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- akdensity
- Nonparametric estimation of the coefficient of overlapping-theory and empirical application
- On kernel density estimation near endpoints
- A bandwidth selector for local linear density estimators
- Two-sample importance resampling for the bootstrap
- Confidence interval estimation of overlap: equal means case.
- A nonparametric measure of the overlapping coefficient.
- New methods for bias correction at endpoints and boundaries
- Kernel Estimation of Densities with Discontinuities or Discontinuous Derivatives
- Inference on overlap coefficients under the Weibull distribution: Equal shape parameter
- The overlapping coefficient as a measure of agreement between probability distributions and point estimation of the overlap of two normal densities
- Smooth optimum kernel estimators near endpoints
- Incorporating support constraints into nonparametric estimators of densities
- Transformations in Density Estimation
- Power Estimation for Two-Sample Tests Using Importance and Antithetic Resampling
- Hybrid test for the hypothesis of symmetry
- A Cramer Von-Mises Type Statistic for Testing Symmetry
- A conditional distribution free runs test for symmetry
- On nonparametric density estimation at the boundary*
- An Improved Estimator of the Density Function at the Boundary
- A NONPARAMETRIC TEST OF SYMMETRY VERSUS ASYMMETRY FOR RANKED-SET SAMPLES
- An approximate method for generating asymmetric random variables
- A Test for Symmetry Using the Sample Distribution Function
- Nonparametric Probability Density Estimation: I. A Summary of Available Methods
- Decision Rules, Based on the Distance, for Problems of Fit, Two Samples, and Estimation
- A modified runs test for symmetry
This page was built for publication: A nonparametric test of symmetry based on the overlapping coefficient
