Correcting moments for goodness of fit tests based on two entropy estimates

By Sangun Park, Dongryeon Park. 2003

69 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9a48855515b2461ec2a30ff86183effb600a66ae

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kai Jia
2. H. Alizadeh Noughabi
3. Guoxin Qiu
4. Nasser Arghami

In Statistics and Probability

1. H. Alizadeh Noughabi
2. Guoxin Qiu
3. Nasser Arghami
4. Kai Jia
5. Jalil Jarrahiferiz
6. Xingyu Wang
7. Lechen Wang
8. S. Baratpour

Citations in the corpus

• Extropy estimators with applications in testing uniformity (2018, methodology): “We also consider replacing f̂ in JD by a density estimator introduced in Park and Park (2003). This density estimator is”
• A NEW ESTIMATOR OF ENTROPY (2010, background): “There is an extensive literature on estimating the Shannon entropy nonparametrically. Vasicek (1976), van Es (1992), Correa (1995),”