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Time Series Analysis and Forecasting - Selected Contributions from the ITISE Conference (Hardcover, 1st ed. 2016) Loot Price: R4,808
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Time Series Analysis and Forecasting - Selected Contributions from the ITISE Conference (Hardcover, 1st ed. 2016): Ignacio...

Time Series Analysis and Forecasting - Selected Contributions from the ITISE Conference (Hardcover, 1st ed. 2016)

Ignacio Rojas, Hector Pomares

Series: Contributions to Statistics

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List price R5,400 Loot Price R4,808 Discovery Miles 48 080 | Repayment Terms: R451 pm x 12* You Save R592 (11%)

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This volume presents selected peer-reviewed contributions from The International Work-Conference on Time Series, ITISE 2015, held in Granada, Spain, July 1-3, 2015. It discusses topics in time series analysis and forecasting, advanced methods and online learning in time series, high-dimensional and complex/big data time series as well as forecasting in real problems. The International Work-Conferences on Time Series (ITISE) provide a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing the disciplines of computer science, mathematics, statistics and econometrics.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Contributions to Statistics
Release date: May 2016
First published: 2016
Editors: Ignacio Rojas • Hector Pomares
Dimensions: 235 x 155 x 24mm (L x W x T)
Format: Hardcover
Pages: 384
Edition: 1st ed. 2016
ISBN-13: 978-3-319-28723-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Business & Economics > Economics > Econometrics > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 3-319-28723-0
Barcode: 9783319287232

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