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Understanding Randomness, Salsburg


Варианты приобретения
Цена: 148010.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: 171 шт.  
При оформлении заказа до: 2025-12-15
Ориентировочная дата поставки: Январь
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Автор: Salsburg
Название:  Understanding Randomness
ISBN: 9780824770570
Издательство: Taylor&Francis
Классификация:
ISBN-10: 0824770579
Обложка/Формат: Hardback
Страницы: 120
Вес: 0.32 кг.
Дата издания: 27.09.1983
Серия: Lecture notes in statistics
Язык: English
Размер: 252 x 178 x 9
Подзаголовок: Exercises for statisticians
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Поставляется из: Европейский союз

Understanding Randomness

Автор: Salsburg
Название: Understanding Randomness
ISBN: 0367580373 ISBN-13(EAN): 9780367580377
Издательство: Taylor&Francis
Рейтинг:
Цена: 48990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Coarse Geometry and Randomness

Автор: Itai Benjamini
Название: Coarse Geometry and Randomness
ISBN: 3319025759 ISBN-13(EAN): 9783319025759
Издательство: Springer
Рейтинг:
Цена: 32600.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Isoperimetry and expansions in graphs.- Several metric notions.- The hyperbolic plane and hyperbolic graphs.- More on the structure of vertex transitive graphs.- Percolation on graphs.- Local limits of graphs.- Random planar geometry.- Growth and isoperimetric profile of planar graphs.- Critical percolation on non-amenable groups.- Uniqueness of the infinite percolation cluster.- Percolation perturbations.- Percolation on expanders.- Harmonic functions on graphs.- Nonamenable Liouville graphs.


Probabilistic Diophantine Approximation

Автор: J?zsef Beck
Название: Probabilistic Diophantine Approximation
ISBN: 3319107402 ISBN-13(EAN): 9783319107400
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives a comprehensive treatment of random phenomena and distribution results in diophantine approximation, with a particular emphasis on quadratic irrationals.

Randomness and Hyper-randomness

Автор: Igor I. Gorban
Название: Randomness and Hyper-randomness
ISBN: 3319607790 ISBN-13(EAN): 9783319607795
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The monograph compares two approaches that describe the statistical stability phenomenon - one proposed by the probability theory that ignores violations of statistical stability and another proposed by the theory of hyper-random phenomena that takes these violations into account.

Dynamics of Gambling: Origins of Randomness in Mechanical Systems

Автор: Jaroslaw Strzalko; Juliusz Grabski; Przemyslaw Per
Название: Dynamics of Gambling: Origins of Randomness in Mechanical Systems
ISBN: 3642261949 ISBN-13(EAN): 9783642261947
Издательство: Springer
Рейтинг:
Цена: 78350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Not only does this monograph provide a general analysis of random effects in mechanical (engineering) systems, but it addresses deep questions concerning the nature of randomness, and gives potentially useful tips for gamblers and the gaming industry.

Fuzzy Randomness

Автор: Bernd M?ller; Michael Beer
Название: Fuzzy Randomness
ISBN: 3642073123 ISBN-13(EAN): 9783642073120
Издательство: Springer
Рейтинг:
Цена: 135090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: sections dealing with fuzzy functions and fuzzy random functions are certain to be of special interest. The methods of fuzzy structural analysis and fuzzy probabilistic structural analysis developed in Chap. The most important forms of the latter are the Fuzzy Finite Element Method (FFEM) and the Fuzzy Stochastic Finite Element Method (FSFEM).

Randomness and Hyper-randomness

Автор: Igor I. Gorban
Название: Randomness and Hyper-randomness
ISBN: 3319869310 ISBN-13(EAN): 9783319869315
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Нет в наличии.
Описание: The monograph compares two approaches that describe the statistical stability phenomenon – one proposed by the probability theory that ignores violations of statistical stability and another proposed by the theory of hyper-random phenomena that takes these violations into account. There are five parts. The first describes the phenomenon of statistical stability. The second outlines the mathematical foundations of probability theory. The third develops methods for detecting violations of statistical stability and presents the results of experimental research on actual processes of different physical nature that demonstrate the violations of statistical stability over broad observation intervals. The fourth part outlines the mathematical foundations of the theory of hyper-random phenomena. The fifth part discusses the problem of how to provide an adequate description of the world.
The monograph should be interest to a wide readership: from university students on a first course majoring in physics, engineering, and mathematics to engineers, post-graduate students, and scientists carrying out research on the statistical laws of natural physical phenomena, developing and using statistical methods for high-precision measurement, prediction, and signal processing over broad observation intervals.
To read the book, it is sufficient to be familiar with a standard first university course on mathematics.

Dynamics of Gambling: Origins of Randomness in Mechanical Systems

Автор: Jaroslaw Strzalko; Juliusz Grabski; Przemyslaw Per
Название: Dynamics of Gambling: Origins of Randomness in Mechanical Systems
ISBN: 3642039596 ISBN-13(EAN): 9783642039591
Издательство: Springer
Рейтинг:
Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Not only does this monograph provide a general analysis of random effects in mechanical (engineering) systems, but it addresses deep questions concerning the nature of randomness, and gives potentially useful tips for gamblers and the gaming industry.

Algorithmic randomness

Автор: Edited By Johanna N.
Название: Algorithmic randomness
ISBN: 1108478980 ISBN-13(EAN): 9781108478984
Издательство: Cambridge Academ
Рейтинг:
Цена: 132000.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume surveys many exciting recent developments in the field of algorithmic randomness and its interactions with other areas of mathematics, presenting a unified view of the theory. It will be a valuable reference for specialists and an excellent entry point for graduate students and other newcomers to the field.

Decision Systems and Nonstochastic Randomness

Автор: V. I. Ivanenko
Название: Decision Systems and Nonstochastic Randomness
ISBN: 144195547X ISBN-13(EAN): 9781441955470
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the first mathematical formalization of the statistical regularities of non-stochastic randomness and demonstrates how these regularities extend the standard probability-based model of decision making under uncertainty, allowing for the description of uncertain mass events that do not fit standard stochastic models.

Dynamics and Randomness

Автор: Alejandro Maass; Servet Mart?nez; Jaime San Mart?n
Название: Dynamics and Randomness
ISBN: 1402005911 ISBN-13(EAN): 9781402005916
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains the lectures given at the Conference on Dynamics and Randomness held at the Centro de Modelamiento Matematico of the Universidad de Chile, on December 2000. This volume is useful for those working in probability theory, stochastic processes, information theory, coding theory, statistical physics, and thermodynamics.

Decision Systems and Nonstochastic Randomness

Автор: V. I. Ivanenko
Название: Decision Systems and Nonstochastic Randomness
ISBN: 1489984968 ISBN-13(EAN): 9781489984968
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the first mathematical formalization of the statistical regularities of non-stochastic randomness and demonstrates how these regularities extend the standard probability-based model of decision making under uncertainty, allowing for the description of uncertain mass events that do not fit standard stochastic models.


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