It takes the average reader 2 hours and 26 minutes to read Compression-Based Methods of Statistical Analysis and Prediction of Time Series by Boris Ryabko
Assuming a reading speed of 250 words per minute. Learn more
Universal codes efficiently compress sequences generated by stationary and ergodic sources with unknown statistics, and they were originally designed for lossless data compression. In the meantime, it was realized that they can be used for solving important problems of prediction and statistical analysis of time series, and this book describes recent results in this area. The first chapter introduces and describes the application of universal codes to prediction and the statistical analysis of time series; the second chapter describes applications of selected statistical methods to cryptography, including attacks on block ciphers; and the third chapter describes a homogeneity test used to determine authorship of literary texts. The book will be useful for researchers and advanced students in information theory, mathematical statistics, time-series analysis, and cryptography. It is assumed that the reader has some grounding in statistics and in information theory.
Compression-Based Methods of Statistical Analysis and Prediction of Time Series by Boris Ryabko is 144 pages long, and a total of 36,576 words.
This makes it 49% the length of the average book. It also has 45% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 19 minutes to read Compression-Based Methods of Statistical Analysis and Prediction of Time Series aloud.
Compression-Based Methods of Statistical Analysis and Prediction of Time Series 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.
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