Continuity and characterization of Shannon-Wiener information measure for continuous probability distributions

DOI10.1007/BF01737401zbMath0125.09301OpenAlexW2037790254MaRDI QIDQ2393890

Sadao Ikeda

Publication date: 1959

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01737401

zbMATH Keywords

continuous probability distributionsShannon-Wiener information measure

Mathematics Subject Classification ID

Measures of information, entropy (94A17)

Related Items

Minimum entropy of error principle in estimation ⋮ A remark on the convergence of Kullback-Leibler's mean information ⋮ A note on the characterization of Shannon-Wiener's measure of information ⋮ Some properties of generalized exponential entropies with applications to data compression ⋮ On characterization of the Kullback-Leibler mean information for continuous probability distributions ⋮ Unnamed Item

Cites Work

• Unnamed Item
• A Mathematical Theory of Communication
• A note on the entropy of a continuous distribution