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This book provides a comprehensive and rigorous treatment of real-life scientific problems which encounter non-linear data. The authors first present methods for developing …
Multivariate Time Series is the result of more than 20 years of teaching courses at both the beginning-graduate level. The main motivation is to provide a broad coverage of the …
This book introduces statistical planning and inference, presenting both classical theory and the major developments in the field. Each chapter presents problems and their …
Explore this indispensable and comprehensive guide to time series analysis for students and practitioners in a wide variety of disciplines Applied Time Series Analysis for the …
Comprehensive Reference Work on Multivariate Analysis and Its Applications The first edition of this book, by Mardia, Kent and Bibby, has been widely used globally for over 40 …
This book examines multiple classes of random processes from the standpoints of statistical analysis, inference, and modeling. It describes several traditional models (fGn, fBm, …