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Multivariate Dispersion, Central Regions, and Depth

2012-12-06 Mathematics
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Release : 2012-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 452/5 ( reviews)

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Book Synopsis Multivariate Dispersion, Central Regions, and Depth by : Karl Mosler

Download or read book Multivariate Dispersion, Central Regions, and Depth written by Karl Mosler. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: This book has many applications to stochastic comparison problems in economics and other fields. It covers theory of lift zonoids and demonstrates its usefulness in multivariate analysis, an informal introduction to basic ideas, and a comprehensive investigation into the theory, as well as various applications of the lift zonoid approach and may be separately studied. Readers are assumed to have a firm grounding in probability at the graduate level.

Multivariate Dispersion, Central Regions, and Depth

2011-04-01
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Release : 2011-04-01
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Kind : eBook
Book Rating : 465/5 ( reviews)

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Book Synopsis Multivariate Dispersion, Central Regions, and Depth by : Karl Mosler

Download or read book Multivariate Dispersion, Central Regions, and Depth written by Karl Mosler. This book was released on 2011-04-01. Available in PDF, EPUB and Kindle. Book excerpt:

Data Depth

2006 Mathematics
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Release : 2006
Genre : Mathematics
Kind : eBook
Book Rating : 963/5 ( reviews)

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Book Synopsis Data Depth by : Regina Y. Liu

Download or read book Data Depth written by Regina Y. Liu. This book was released on 2006. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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 the Association for Computer Machinery (ACM).

Robustness and Complex Data Structures

2014-07-08 Mathematics
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Release : 2014-07-08
Genre : Mathematics
Kind : eBook
Book Rating : 947/5 ( reviews)

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Book Synopsis Robustness and Complex Data Structures by : Claudia Becker

Download or read book Robustness and Complex Data Structures written by Claudia Becker. This book was released on 2014-07-08. Available in PDF, EPUB and Kindle. Book excerpt: ​This Festschrift in honour of Ursula Gather’s 60th birthday deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading experts provide a textbook-style overview of the topic, supplemented by current research results and questions. The statistical theory and methods in this volume aim at the analysis of data which deviate from classical stringent model assumptions, which contain outlying values and/or have a complex structure. Written for researchers as well as master and PhD students with a good knowledge of statistics.

Combining Soft Computing and Statistical Methods in Data Analysis

2010-10-12 Technology & Engineering
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Release : 2010-10-12
Genre : Technology & Engineering
Kind : eBook
Book Rating : 461/5 ( reviews)

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Book Synopsis Combining Soft Computing and Statistical Methods in Data Analysis by : Christian Borgelt

Download or read book Combining Soft Computing and Statistical Methods in Data Analysis written by Christian Borgelt. This book was released on 2010-10-12. Available in PDF, EPUB and Kindle. Book excerpt: Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools. Most such extensions originate in a "softening" of classical methods, allowing, in particular, to work with imprecise or vague data, considering imprecise or generalized probabilities and fuzzy events, etc. About ten years ago the idea of establishing a recurrent forum for discussing new trends in the before-mentioned context was born and resulted in the first International Conference on Soft Methods in Probability and Statistics (SMPS) that was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). In the current edition the conference returns to Oviedo. This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo. It gives a comprehensive overview of current research into the fusion of soft methods with probability and statistics.

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