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Theory and Applications of Time Series Analysis and Forecasting - Selected Contributions from ITISE 2021 (Hardcover, 1st ed. 2023) Loot Price: R5,807
Discovery Miles 58 070
Theory and Applications of Time Series Analysis and Forecasting - Selected Contributions from ITISE 2021 (Hardcover, 1st ed....

Theory and Applications of Time Series Analysis and Forecasting - Selected Contributions from ITISE 2021 (Hardcover, 1st ed. 2023)

Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas

Series: Contributions to Statistics

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Loot Price R5,807 Discovery Miles 58 070 | Repayment Terms: R544 pm x 12*

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This book presents a selection of peer-reviewed contributions on the latest developments in time series analysis and forecasting, presented at the 7th International Conference on Time Series and Forecasting, ITISE 2021, held in Gran Canaria, Spain, July 19-21, 2021. It is divided into four parts. The first part addresses general modern methods and theoretical aspects of time series analysis and forecasting, while the remaining three parts focus on forecasting methods in econometrics, time series forecasting and prediction, and numerous other real-world applications. Covering a broad range of topics, the book will give readers a modern perspective on the subject. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Contributions to Statistics
Release date: April 2023
First published: 2023
Editors: Olga Valenzuela • Fernando Rojas • Luis Javier Herrera • Héctor Pomares • Ignacio Rojas
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 333
Edition: 1st ed. 2023
ISBN-13: 978-3-03-114196-6
Categories: Books
LSN: 3-03-114196-2
Barcode: 9783031141966

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