Robust Multivariate Analysis

Discover the innovative approaches outlined in Robust Multivariate Analysis by David J. Olive. Published by Springer International Publishing AG in 2017, this comprehensive hardcover edition spans 501 pages and offers invaluable insights into multivariate statistical methods. This book focuses on methodologies that withstand the assumptions of a multivariate normal distribution and tackle various types of outliers.

Readers will explore robust techniques illustrated through practical applications of principal component analysis, canonical correlation analysis, and factor analysis. Whether you are an advanced student or a seasoned statistician, Olive's clear explanations and thorough examples provide a solid foundation for understanding and applying robust multivariate analysis. Enhance your analytical skills and enrich your research with this essential resource tailored for today’s data challenges.