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   系統號碼932453
   書刊名Time series for data science : analysis and forecasting /
   主要著者Woodward, Wayne A., author.
   其他著者Sadler, Bivin Philip,;Robertson, Stephen (Lecturer in statistics),
   出版項Boca Raton : CRC Press, Taylor & Francis Group, 2022.;Boca Raton : CRC Press, Taylor & Francis Group, ©2022
   索書號QA280.W686 2022
   ISBN9780367537944
   標題Time-series analysis.
Autoregression (Statistics)
Big data.
Se?rie chronologique.
Autore?gression (Statistique)
Donne?es volumineuses.
Autoregression (Statistics)-fast
   叢書名Texts in statistical science;Texts in statistical science.
   
    
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 資料類型狀態應還日期預約人數館藏地索書號條碼號
教學專用借出中2024/07/060總館
西文圖書區
QA280 .W686 2022W115227

內容簡介"This book will be written at a level that requires little or no calculus but does not shy away from giving students more than a cursory understanding of the fundamentals and techniques involved. It will cover time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It gives more emphasis to classical ARMA and ARIMA models than is found in similar-level texts. Knowing that students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, we discuss techniques of ensemble modeling for combining information from several strategies (multivariate, VAR, neural networks, etc.)"--

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