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Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications (Dimacs Series in Discrete Mathematics and Theoretical Computer Science)
Rok: 2006
ISBN: 9780821835968
OKCZID: 110745283
Citace (dle ČSN ISO 690):
LIU, Regina Y., ed., SERFLING, Robert J., ed. a SOUVAINE, Diane L., ed. Data depth: robust multivariate analysis, computational geometry and applications. New York: American Mathematical Society, c2006. xiii, 246 s. DIMACS series in discrete mathematics and theoretical computer science, v. 72.
Anotace
The book is a collection of some of the research presented at the workshop of the same name held in May 2003 at Rutgers University. The workshop brought together researchers from two different communities: statisticians and specialists in computational geometry. The main idea unifying these two research areas turned out to be the notion of data depth, which is an important notion both in statistics and in the study of efficiency of algorithms used in computational geometry. Many of the articles in the book lay down the foundations for further collaboration and interdisciplinary research. Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with the Association for Computer Machinery (ACM).
Zdroj anotace: OKCZ - ANOTACE Z WEBU