Nonparametric Confidence Regions for Some Multivariate Location Problems (Classic Reprint) - Couverture souple

Puri, Madan Lal

Couverture souple

ISBN 10 : 1332974074 ISBN 13 : 9781332974078

Editeur : Forgotten Books, 2018

Synopsis

This book delves into the realm of nonparametric confidence regions, providing a comprehensive analysis of their construction in the context of multivariate location problems. The author presents a detailed examination of the problem of constructing confidence regions for the location vectors in the multivariate one sample and two sample scenarios, addressing both their theoretical underpinnings and practical applications. The book explores various approaches to constructing these regions, including Bonferroni inequality, the maximum modulus, and Scheffe's method. It also establishes certain optimality properties for the proposed methods, offering valuable insights into their effectiveness. Through a combination of rigorous mathematical exposition and detailed explanations, the author guides readers through the intricacies of this specialized field, making it accessible to researchers and practitioners alike. The insights presented in this book advance the understanding and application of nonparametric confidence regions, contributing to the broader understanding of statistical inference in multivariate settings.

Détails de l'édition

• Éditeur: Forgotten Books
• Date d'édition: 2018
• Langue: anglais
• ISBN 10: 1332974074
• ISBN 13: 9781332974078
• Reliure: Broché
• Nombre de pages: 25
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