Title | ||
---|---|---|
Entropy of the Sum of Two Independent, Non-Identically-Distributed Exponential Random Variables. |
Abstract | ||
---|---|---|
In this letter, we give a concise, closed-form expression for the differential entropy of the sum of two independent, non-identically-distributed exponential random variables. The derivation is straightforward, but such a concise entropy has not been previously given in the literature. The usefulness of the expression is demonstrated with examples. |
Year | Venue | Field |
---|---|---|
2016 | arXiv: Information Theory | Entropy power inequality,Discrete mathematics,Applied mathematics,Combinatorics,Joint quantum entropy,Rényi entropy,Differential entropy,Independent and identically distributed random variables,Joint entropy,Sum of normally distributed random variables,Mathematics,Maximum entropy probability distribution |
DocType | Volume | Citations |
Journal | abs/1609.02911 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andrew W. Eckford | 1 | 444 | 44.21 |
Peter J. Thomas | 2 | 133 | 41.24 |