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1. |
Record Nr. |
UNINA9910739406403321 |
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Titolo |
Long-Memory Processes : Probabilistic Properties and Statistical Methods / / by Jan Beran, Yuanhua Feng, Sucharita Ghosh, Rafal Kulik |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (892 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Statistics |
Probabilities |
Biometry |
Statistical Theory and Methods |
Probability Theory |
Statistics in Business, Management, Economics, Finance, Insurance |
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Biostatistics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Definition of Long Memory -- Origins and Generation of Long Memory -- Mathematical Concepts -- Limit Theorems -- Statistical Inference for Stationary Processes -- Statistical Inference for Nonlinear Processes -- Statistical Inference for Nonstationary Processes -- Forecasting -- Spatial and Space-Time Processes -- Resampling -- Function Spaces -- Regularly Varying Functions -- Vague Convergence -- Some Useful Integrals -- Notation and Abbreviations. |
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Sommario/riassunto |
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Long-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and network engineering. In the last 20 years enormous progress has been made in understanding the probabilistic foundations and statistical principles of such processes. This book provides a timely and |
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comprehensive review, including a thorough discussion of mathematical and probabilistic foundations and statistical methods, emphasizing their practical motivation and mathematical justification. Proofs of the main theorems are provided and data examples illustrate practical aspects. This book will be a valuable resource for researchers and graduate students in statistics, mathematics, econometrics and other quantitative areas, as well as for practitioners and applied researchers who need to analyze data in which long memory, power laws, self-similar scaling or fractal properties are relevant. |
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2. |
Record Nr. |
UNINA9910954119903321 |
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Autore |
Bing Benny |
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Titolo |
3D and HD broadband video networking / / Benny Bing |
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Pubbl/distr/stampa |
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Boston ; ; London, : Artech House, c2010 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (318 p.) |
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Collana |
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Artech House telecommunications library |
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Disciplina |
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Soggetti |
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Digital video |
Digital television |
Image transmission |
Broadband communication systems |
Multimedia communications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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3D and HD Broadband Video Networking; Contents; Preface; Chapter 1 Empowering High-Quality Digital Video Delivery; Chapter 2 The Access and Home Networks; Chapter 3 Video Fundamentals; Chapter 4 The H.264 Standard; Chapter 5 Short-Term H.264 Bandwidth Prediction; Chapter 6 Long-Term H.264 Bandwidth Prediction; Chapter 7 Lossless FMO Removal for H.264 Videos; Chapter 8 Error Concealment Methods forImproving Video Quality; Chapter 9 Video Traffic Smoothing and Multiplexing; Chapter 10 Intelligent Policy Resource Management |
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Chapter 11 Supporting Compressed Video Applications over DOCSIS Cable NetworksChapter 12 Intelligent Activity Detection Techniques for Advanced Video Surveillance Systems; Chapter 13 Hand Gesture Control for Broadband-Enabled HDTVs and Multimedia PCs; Glossary; About the Author; Index |
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Sommario/riassunto |
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Recent years have seen an exponential increase in video and multimedia traffic transported over the Internet and broadband access networks. This timely resource addresses the key challenge facing many service providers today: effective bandwidth management for supporting high-quality video delivery. Written by a recognized expert in the field, this practical book describes ways to optimize video transmission over emerging broadband networks. Moreover, the book explores new wireless access networks that can enable video connectivity both inside and outside the residential premise. This unique reference covers a wide range of critical topics, from the H.264 standard, error concealment methods for improving video quality, and video traffic smoothing and multiplexing, to supporting compressed video applications over DOCSIS cable networks, intelligent activity detection techniques for advanced video surveillance systems, and hand gesture control for broadband-enabled HDTVs and multimedia PCs. |
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