Time Series (Chapman & Hall/CRC Texts in Statistical Science)

Time Series from the Chapman & Hall/CRC Texts in Statistical Science series delivers in-depth coverage of statistical methods for analyzing and modeling temporal data. Authored by Mike West, Raquel Prado, and Marco A. R. Ferreira, it equips readers with essential techniques for forecasting and inference in time-dependent contexts, ideal for advanced statistical studies.

Time Series, part of the Chapman & Hall/CRC Texts in Statistical Science series, offers a detailed examination of time series methodologies. Authored by experts Mike West, Raquel Prado, and Marco A. R. Ferreira, it covers foundational concepts and advanced techniques in statistical modeling of sequential data.

The book emphasizes practical approaches to analyzing time-dependent phenomena, making it a valuable resource for students and researchers in statistics. It integrates theoretical principles with computational methods to address real-world problems involving temporal patterns.

Designed for graduate-level study, the text builds on core statistical knowledge to explore dynamic models and inference for time series. Its structured presentation supports both academic learning and professional application in fields requiring time-based data analysis.

Readers will find clear explanations of key statistical tools tailored to time series, enhancing understanding of variability and trends over time. The series' reputation ensures rigorous, up-to-date content in statistical science.