Information Theory and Statistics (Dover Books on Mathematics)
A classic Dover edition linking information theory with statistical inference, covering entropy, divergence, and estimation for advanced mathematics readers.
About This Book
Information Theory and Statistics presents core principles connecting information measures with statistical inference.
The work examines how concepts such as entropy and divergence relate to probability distributions and data analysis.
Readers encounter rigorous treatments of statistical estimation framed through an information-theoretic lens.
The text serves as a reference for those studying mathematical statistics and its theoretical underpinnings.
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