Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD courier 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft DPD point 990 Ft GLS courier 1 690 Ft GLS point 1 190 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Robust and Multivariate Statistical Methods

Name: Robust and Multivariate Statistical Methods
Brand: Springer Nature B.V.
SKU: 43417323
Price: 21077 HUF
Availability: InStock
Author: Mengxi Yi
ISBN: 9783031226885

Festschrift in Honor of David E. Tyler

Mengxi Yi

Klaus Nordhausen

Language

English

Book Paperback

Libristo code: 43417323

Publishers Springer Nature B.V., April 2023

This book presents recent developments in multivariate and robust statistical methods. Featuring con... Full description

Libristo code: 43417323

145 b

21 077 Ft

In stock at our supplier Shipping in 10-18 days

Up to 30 days for returns

Customers also purchased

Description Du Forum Romain Et Guide Pour Le Visiter Orazio Marucchi

Paperback

7 748 Ft

Українсько-Корейський тематичний словник - 7000 слів Andrey Taranov

Paperback

5 622 Ft

This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler's shape matrix.