Editing Entropy (information theory) (section)

===Textbooks on information theory===
* [[Thomas M. Cover|Cover, T.M.]], [[Joy A. Thomas|Thomas, J.A.]] (2006), ''Elements of Information Theory – 2nd Ed.'', Wiley-Interscience, {{isbn|978-0-471-24195-9}}
* [[David J.C. MacKay|MacKay, D.J.C.]] (2003), ''Information Theory, Inference and Learning Algorithms'', Cambridge University Press, {{isbn|978-0-521-64298-9}}
* Arndt, C. (2004), ''Information Measures: Information and its Description in Science and Engineering'', Springer, {{isbn|978-3-540-40855-0}}
* Gray, R. M. (2011), ''Entropy and Information Theory'', Springer.
* {{cite book|author1=Martin, Nathaniel F.G. |author2=England, James W. |title=Mathematical Theory of Entropy|publisher=Cambridge University Press|year=2011|isbn=978-0-521-17738-2|url=https://books.google.com/books?id=_77lvx7y8joC}}
* [[Claude Shannon|Shannon, C.E.]], [[Warren Weaver|Weaver, W.]] (1949) ''The Mathematical Theory of Communication'', Univ of Illinois Press. {{isbn|0-252-72548-4}}
* Stone, J. V. (2014), Chapter 1 of [http://jim-stone.staff.shef.ac.uk/BookInfoTheory/InfoTheoryBookMain.html ''Information Theory: A Tutorial Introduction''] {{Webarchive|url=https://web.archive.org/web/20160603070027/http://jim-stone.staff.shef.ac.uk/BookInfoTheory/InfoTheoryBookMain.html |date=3 June 2016 }}, University of Sheffield, England. {{isbn|978-0956372857}}.