Nonparametric probability density functions of entropy estimators applied to testing the Rayleigh distribution
From MaRDI portal
Publication:5036892
DOI10.1080/00949655.2020.1781123OpenAlexW3038080835MaRDI QIDQ5036892
Hadi Alizadeh Noughabi, J. Jarrahiferiz
Publication date: 23 February 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2020.1781123
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Two measures of sample entropy
- The correct ``ball bearings data
- A new two-parameter lifetime distribution with bathtub shape or increasing failure rate function
- A new estimator of entropy and its application in testing normality
- Testing Exponentiality Based on Type II Censored Data and a New cdf Estimator
- Some problems connected with Rayleigh distributions
- Life Distributions
- Entropy estimators‐improvements and comparisons
- A new estimator of entropy
- Correcting moments for goodness of fit tests based on two entropy estimates
- Goodness-of-Fit Tests Based on Correcting Moments of Entropy Estimators
- Moments of nonparametric probability density functions of entropy estimators applied to testing the inverse Gaussian distribution
- An efficient correction to the density-based empirical likelihood ratio goodness-of-fit test for the inverse Gaussian distribution
- An entropy test for the Rayleigh distribution and power comparison
- A density-based empirical likelihood ratio goodness-of-fit test for the Rayleigh distribution and power comparison
- Tests of fit for the Laplace distribution based on correcting moments of entropy estimators
- Relationships Between Biased and Unbiased Rayleigh Distributions
- On Information and Sufficiency
This page was built for publication: Nonparametric probability density functions of entropy estimators applied to testing the Rayleigh distribution