A new estimator of entropy and its application in testing normality

By H. Alizadeh Noughabi. 2010

88 citations recorded by the source corpus.

Subfields: Finance, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e7a47f70aeeb251a1c37c175800ff52cdca74df0

How researchers see this paper

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

In Finance

1. R. A. Noughabi
2. Nasser Arghami
3. H. Alizadeh Noughabi

In Statistics and Probability

1. Nasser Arghami
2. R. A. Noughabi
3. H. Alizadeh Noughabi
4. S. Baratpour

Citations in the corpus

• On the entropy estimators (2013, background): “Journal of Statistical Computation and Simulation, 2013 Vol. 83, No. 4, 784–792, http://dx.doi.org/10.1080/00949655.2011.637039 On the entropy estimators Havva Alizadeh Noughabia* and Reza Alizadeh Noughabib aDepartment of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran; bDepartm”
• A NEW ESTIMATOR OF ENTROPY (2010, background): “Ebrahimi et al. (1994) and Alizadeh Noughabi (2010) have proposed estimates for the entropy of absolutely continuous random variables.”