Share
Compression-Based Methods of Statistical Analysis and Prediction of Time Series
Boris Ryabko
(Author)
·
Jaakko Astola
(Author)
·
Mikhail Malyutov
(Author)
·
Springer
· Hardcover
Compression-Based Methods of Statistical Analysis and Prediction of Time Series - Ryabko, Boris ; Astola, Jaakko ; Malyutov, Mikhail
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Monday, July 22 and
Wednesday, August 07.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Compression-Based Methods of Statistical Analysis and Prediction of Time Series"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.