Characterizations based on Rényi entropy of order statistics and record values

By S. Baratpour, Jafar Ahmadi, Nasser Arghami. 2008

69 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Finance, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/eafcf5647113cf0e156f46468da1041f12a03307

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. Guoxin Qiu
3. S. Baratpour

In Finance

1. S. Baratpour

In Statistics and Probability

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

Citations in the corpus

• The residual extropy of order statistics (2018, background): “Baratpour et al. (2007, 2008) showed that Shannon entropy and Rényi entropy of the ith order statistic can characterize the underlying distribution uniquely.”
• Characterizations Based on Cumulative Residual Entropy of First-Order Statistics (2010, methodology): “Baratpour et al. (2007, 2008) obtained Similar properties based on Shannon entropy and Renyi entropy of order statistics and record values.”