Compression-Based Methods of Statistical Analysis and Prediction of Time Series
Boris Ryabko
ISBN 10: 3319322516 ISBN 13: 9783319322513
Edité par Springer International Publishing AG, 2016
Neuf(s)
Couverture rigide
Vendeur
Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Évaluation du vendeur 5 sur 5 étoiles
Vendeur AbeBooks depuis 27 février 2001
Cet article spécifique n'est plus disponible.
A propos de cet article
Description :
Num Pages: 153 pages, 8 black & white illustrations, 21 colour illustrations, 20 colour tables, biography. BIC Classification: CFX; PBT; UYA; UYQL. Category: (G) General (US: Trade). Dimension: 235 x 155 x 11. Weight in Grams: 403. . 2016. 1st ed. 2016. Hardcover. . . . . N° de réf. du vendeur V9783319322513
Synopsis :
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Détails bibliographiques
Titre : Compression-Based Methods of Statistical ...
Éditeur : Springer International Publishing AG
Date d'édition : 2016
Reliure : Couverture rigide
Etat : New
Edition : Edition originale
Meilleurs résultats de recherche sur AbeBooks
Image d'archives
Compression-Based Methods of Statistical Analysis and Prediction of Time Series (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2016
ISBN 10 : 3319322516
ISBN 13 : 9783319322513
Neuf
Couverture rigide
Edition originale
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. 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; Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783319322513
Quantité disponible : 1 disponible(s)
Image d'archives
Compression-Based Methods of Statistical Analysis and Prediction of Time Series (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2016
ISBN 10 : 3319322516
ISBN 13 : 9783319322513
Neuf
Couverture rigide
Edition originale
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. 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; Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783319322513
Quantité disponible : 1 disponible(s)