It takes the average reader 2 hours and 12 minutes to read Information Theory and Statistics by Imre Csiszár
Assuming a reading speed of 250 words per minute. Learn more
Information Theory and Statistics: A Tutorial is concerned with applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background. Also, an introduction is provided to the theory of universal coding, and to statistical inference via the minimum description length principle motivated by that theory. The tutorial does not assume the reader has an in-depth knowledge of Information Theory or statistics. As such, Information Theory and Statistics: A Tutorial, is an excellent introductory text to this highly-important topic in mathematics, computer science and electrical engineering. It provides both students and researchers with an invaluable resource to quickly get up to speed in the field.
Information Theory and Statistics by Imre Csiszár is 128 pages long, and a total of 33,024 words.
This makes it 43% the length of the average book. It also has 40% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours to read Information Theory and Statistics aloud.
Information Theory and Statistics is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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