TY  - BOOK
AU  - Ryabko,Boris
AU  - Astola,Jaakko
AU  - Malyutov,Mikhail
ED  - SpringerLink (Online service)
TI  - Compression-Based Methods of Statistical Analysis and Prediction of Time Series
SN  - 9783319322537
AV  - QA76.9.D35 
U1  - 005.74 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Data structures (Computer science)
KW  - Mathematics
KW  - Computational linguistics
KW  - Statistics
KW  - Computer Science
KW  - Data Structures, Cryptology and Information Theory
KW  - Mathematics of Computing
KW  - Language Translation and Linguistics
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Computational Linguistics
N1  - Statistical Methods Based on Universal Codes -- Applications to Cryptography -- SCOT-Modeling and Nonparametric Testing of Stationary Strings
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-32253-7
ER  -