Non-Asymptotic Analysis of Approximations for Multivariate Statistics

Explore cutting-edge research in the field of statistics with Non-Asymptotic Analysis of Approximations for Multivariate Statistics by Yasunori Fujikoshi. Published by Springer Verlag in 2020, this insightful paperback spans 130 pages and delves into recent non-asymptotic results crucial for approximations in multivariate statistical analysis.

This book not only presents foundational concepts but also introduces innovative research areas, including high-dimensional approximations for bootstrap procedures, Cornish–Fisher expansions, and power-divergence statistics. Readers will gain valuable insights into the approximations of statistics based on observations with random sample sizes, making this an essential resource for statisticians and researchers alike.

Enhance your understanding of multivariate statistics and stay ahead in your field with this comprehensive guide.