Time Series: Modeling, Computation, and Inference (Chapman & Hall/CRC Texts in Statistical Science)
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Time Series: Modeling, Computation, and Inference (Chapman & Hall/CRC Texts in Statistical Science)

by Mike West, Raquel Prado

statistics computational mathematics Time Series
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Time Series: Modeling, Computation, and Inference offers a rigorous statistical treatment of time-dependent data. Organized around modeling, computation, and inference, this Chapman & Hall/CRC text provides students, researchers, and professionals with an academic reference for studying time series within statistical science.

About This Book

Time Series: Modeling, Computation, and Inference presents a focused treatment of time series within statistical science.

The book covers the connected themes of modeling, computation, and inference, offering a framework for studying time-dependent data.

Written by Mike West and Raquel Prado, it is suited to readers seeking a mathematically oriented reference or textbook.

Published as part of the Chapman & Hall/CRC Texts in Statistical Science series, the volume provides an academic resource for statistics and related fields.

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