Dive deep into the world of Statistical Outliers and Related Topics with this essential guide from The Bookish Owl. Authored by leading experts, this comprehensive collection explores every facet of outliers, from their definition and sources to their critical impact and identification. Discover robust computational methods and practical approaches for handling outliers across diverse statistical areas, including univariate, multivariate, time series, big data, and high-dimensional datasets. This book is invaluable for data mining professionals and statisticians seeking to make outlier detection methods widely usable. With examples drawn from various real-world fields, it’s a must-have resource for anyone working with statistical data.