Highly useful text studies the logarithmic measures of information and their application to testing statistical hypotheses. Topics include introduction and definition of measures of information, their relationship to Fisher's information measure and sufficiency, fundamental inequalities of information theory, much more. Numerous worked examples and problems. References. Glossary. Appendix. 1968 2nd, revised edition.
Mathematical Foundations of Information Theory by A. Ya. Khinchin Comprehensive, rigorous introduction to work of Shannon, McMillan, Feinstein and Khinchin. Translated by R. A. Silverman and M. D. Friedman.
Information Theory by Robert B. Ash Analysis of channel models and proof of coding theorems; study of specific coding systems; and study of statistical properties of information sources. Sixty problems, with solutions. Advanced undergraduate to graduate level.
Statistical Theory of Communication by Y. W. Lee Clear and rigorous, this systematic presentation by a pioneer in the field introduces upper-level undergraduates and graduate students to the statistical theory of communication.
Science and Information Theory, Second Edition by Leon Brillouin Exploring the connections between information theory and physics, this text applies the principles of information theory to a variety of issues, including Maxwell's demon, thermodynamics, and measurement problems. 81 figures. 14 tables.
Stochastic Processes and Filtering Theory by Andrew H. Jazwinski This unified treatment presents material previously available only in journals, and in terms accessible to engineering students. Although theory is emphasized, it discusses numerous practical applications as well. 1970 edition.
