NDLTD Global ETD Search
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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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1

Non-abelian Littlewood–Offord inequalities

Tiep, Pham H., Vu, Van H. 10 1900 (has links)
In 1943, Littlewood and Offord proved the first anti-concentration result for sums of independent random variables. Their result has since then been strengthened and generalised by generations of researchers, with applications in several areas of mathematics. In this paper, we present the first non-abelian analogue of the Littlewood Offord result, a sharp anti-concentration inequality for products of independent random variables. (C) 2016 Elsevier Inc. All rights reserved.
Littlewood-Offord-Erdos theorem
Anti-concentration inequalities
2

On two Random Models in Data Analysis

James, David 12 January 2017 (has links)
No description available.
510
random data models
the lemma of Littlewood and Offord
ultrasonic nondestructive testing
randomized ultrasonic measurements
Mathematik (PPN61756535X)

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