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Mod-ϕ Convergence: Normality Zones and Precise Deviations (SpringerBriefs in Probability and Mathematical Statistics) book cover by Valentin Féray, Pierre-Loïc Méliot, Ashkan Nikeghbali
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Mod-ϕ Convergence: Normality Zones and Precise Deviations (SpringerBriefs in Probability and Mathematical Statistics)

by Valentin Féray, Pierre-Loïc Méliot and Ashkan Nikeghbali

$48.39 / copy at 25+ copies As low as $47.29 at 100+Your best volume price

Paperback · 152 pages Springer International Publishing · 2016

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About the book

Mod-ϕ Convergence

The canonical way to establish the central limit theorem for i.i.d. random variables is to use characteristic functions and Lévy’s continuity theorem. This monograph focuses on this characteristic function approach and presents a renormalization theory called mod-ϕ convergence. This type of convergence is a relatively new concept with many deep ramifications, and has not previously been published in a single accessible volume. The authors construct an extremely flexible framework using this concept in order to study limit theorems and large deviations for a number of probabilistic models related to classical probability, combinatorics, non-commutative random variables, as well as geometric and number-theoretical objects. 
Intended for researchers in probability theory, the text is carefully well-written and well-structured, containing a great amount of detail and interesting examples. 



The book, Mod-ϕ Convergence: Normality Zones and Precise Deviations (SpringerBriefs in Probability and Mathematical Statistics) [Bulk, Wholesale, Quantity] ISBN#9783319468211 in Paperback by Valentin Féray, Pierre-Loïc Méliot, Ashkan Nikeghbali may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer International Publishing
Authors
Valentin Féray, Pierre-Loïc Méliot, Ashkan Nikeghbali
Format
Paperback
Published
Dec 16, 2016
ISBN-13
9783319468211
Pages
152
Printing
Printed on demand
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