Data Depth is popular PDF and ePub book, written by Regina Y. Liu in 2024-06-29, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Data Depth can be Read Online from any device for your convenience.
Data Depth Book PDF Summary
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 ofthe articles in the book lay down the foundations for further collaboration and interdisciplinary research. Information for our distributors: Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with theAssociation for Computer Machinery (ACM).
Detail Book of Data Depth PDF
- Author : Regina Y. Liu
- Release : 29 June 2024
- Publisher : American Mathematical Soc.
- ISBN : 0821871129
- Genre : Mathematics
- Total Page : 274 pages
- Language : English
- PDF File Size : 18,8 Mb
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