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Mathematical Statistics and Limit Theorems

Author : Marc Hallin
Publisher : Springer
Page : 326 pages
File Size : 47,86 MB
Release : 2015-04-07
Category : Mathematics
ISBN : 3319124420

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This Festschrift in honour of Paul Deheuvels’ 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems. The book brings together contributions from invited international experts to provide an up-to-date survey of the field. Written in textbook style, this collection of original material addresses researchers, PhD and advanced Master students with a solid grasp of mathematical statistics and probability theory.

Combinatorial Optimization

Author : Bernhard Korte
Publisher : Springer Science & Business Media
Page : 535 pages
File Size : 23,92 MB
Release : 2013-11-11
Category : Mathematics
ISBN : 3662217112

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This well-written textbook on combinatorial optimization puts special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. The book contains complete (but concise) proofs, as well as many deep results, some of which have not appeared in any previous books.

Guide to Information Sources in Mathematics and Statistics

Author : Martha A. Tucker
Publisher : Bloomsbury Publishing USA
Page : 362 pages
File Size : 32,87 MB
Release : 2004-09-30
Category : Language Arts & Disciplines
ISBN : 0313053375

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This book is a reference for librarians, mathematicians, and statisticians involved in college and research level mathematics and statistics in the 21st century. We are in a time of transition in scholarly communications in mathematics, practices which have changed little for a hundred years are giving way to new modes of accessing information. Where journals, books, indexes and catalogs were once the physical representation of a good mathematics library, shelves have given way to computers, and users are often accessing information from remote places. Part I is a historical survey of the past 15 years tracking this huge transition in scholarly communications in mathematics. Part II of the book is the bibliography of resources recommended to support the disciplines of mathematics and statistics. These are grouped by type of material. Publication dates range from the 1800's onwards. Hundreds of electronic resources-some online, both dynamic and static, some in fixed media, are listed among the paper resources. Amazingly a majority of listed electronic resources are free.

Analyzing and Modeling Data and Knowledge

Author : Martin Schader
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 34,95 MB
Release : 2013-03-13
Category : Mathematics
ISBN : 3642467571

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The volume contains revised versions of papers presented at the 15th Annual Meeting of the "Gesellschaft f}r Klassifika- tion". Papers were arranged in the following three parts which were the main streams of discussion during the confe- rence: 1. Data Analysis, Classification 2. Data Modeling, Knowledge Processing, 3. Applications, Special Subjects. New results on developing mathematical and statistical methods allowing quantitative analysis of data are reported on. Tools for representing, modeling, storing and processing da- ta and knowledge are discussed. Applications in astro-phycics, archaelogy, biology, linguistics, and medicine are presented.

Wavelets in Geodesy and Geodynamics

Author : Wolfgang Keller
Publisher : Walter de Gruyter
Page : 292 pages
File Size : 20,71 MB
Release : 2004
Category : Mathematics
ISBN : 3110175460

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For many years, digital signal processing has been governed by the theory of Fourier transform and its numerical implementation. The main disadvantage of Fourier theory is the underlying assumption that the signals have time-wise or space-wise invariant statistical properties. In many applications the deviation from a stationary behavior is precisely the information to be extracted from the signals. Wavelets were developed to serve the purpose of analysing such instationary signals. The book gives an introduction to wavelet theory both in the continuous and the discrete case. After developing the theoretical fundament, typical examples of wavelet analysis in the Geosciences are presented. The book has developed from a graduate course held at The University of Calgary and is directed to graduate students who are interested in digital signal processing. The reader is assumed to have a mathematical background on the graduate level.