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Probability distributions :, 


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Цена: 16769.00р.
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Название:  Probability distributions :
ISBN: 9783319760414
Издательство: Springer
Классификация:
ISBN-10: 3319760416
Обложка/Формат: Hardcover
Страницы: 163
Вес: 0.44 кг.
Дата издания: 18.04.2018
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 20 tables, color; 20 illustrations, color; approx. 160 p. 20 illus. in color.
Размер: 234 x 156 x 13
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: With truncated, log and bivariate extensions
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal.


Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

L?vy Processes and Infinitely Divisible Distributions

Автор: Sato
Название: L?vy Processes and Infinitely Divisible Distributions
ISBN: 1107656494 ISBN-13(EAN): 9781107656499
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: This successful text provides a comprehensive basic knowledge of Levy processes and serves as an introduction to stochastic processes in general. Now in paperback, this corrected edition contains a brand new supplement discussing relevant developments in the area since the book`s initial publication.

Matrix-exponential distributions in applied probability

Автор: Bladt, Mogens Nielsen, Bo Friis
Название: Matrix-exponential distributions in applied probability
ISBN: 149397047X ISBN-13(EAN): 9781493970476
Издательство: Springer
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Цена: 12577.00 р.
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Описание:

This book contains an in-depth treatment of matrix-exponential (ME) distributions and their sub-class of phase-type (PH) distributions. Loosely speaking, an ME distribution is obtained through replacing the intensity parameter in an exponential distribution by a matrix. The ME distributions can also be identified as the class of non-negative distributions with rational Laplace transforms. If the matrix has the structure of a sub-intensity matrix for a Markov jump process we obtain a PH distribution which allows for nice probabilistic interpretations facilitating the derivation of exact solutions and closed form formulas.

The full potential of ME and PH unfolds in their use in stochastic modelling. Several chapters on generic applications, like renewal theory, random walks and regenerative processes, are included together with some specific examples from queueing theory and insurance risk. We emphasize our intention towards applications by including an extensive treatment on statistical methods for PH distributions and related processes that will allow practitioners to calibrate models to real data.

Aimed as a textbook for graduate students in applied probability and statistics, the book provides all the necessary background on Poisson processes, Markov chains, jump processes, martingales and re-generative methods. It is our hope that the provided background may encourage researchers and practitioners from other fields, like biology, genetics and medicine, who wish to become acquainted with the matrix-exponential method and its applications.

Continuous Univariate Distributions

Автор: Johnson, N.L.
Название: Continuous Univariate Distributions
ISBN: 0471584940 ISBN-13(EAN): 9780471584940
Издательство: Wiley
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Цена: 36424.00 р.
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Описание: This volume presents a detailed description of the statistical distributions that are commonly applied to such fields as engineering, business, economics and the behavioural, biological and environmental sciences.

Advances in Probability Distributions with Given Marginals

Автор: G. Dall`aglio; S. Kotz; G. Salinetti
Название: Advances in Probability Distributions with Given Marginals
ISBN: 0792311566 ISBN-13(EAN): 9780792311560
Издательство: Springer
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Цена: 13275.00 р.
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Описание: 'Et moi -...- si j'avait su comment en rcvenir. One service mathematics has rendered the je n'y serais point alle.' human race. It has put common sense back Jules Verne where it belongs, on the topmost shelf next to the dusty canistcr labelled 'discarded non- sense'. The scries is divergent; therefore we may be Eric T. Bell able to do something with it. O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non- linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics .. .'; 'One service logic has rendered com- puter science .. .'; 'One service category theory has rendered mathematics .. .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series.

Probability Distributions

Автор: Nick T. Thomopoulos
Название: Probability Distributions
ISBN: 3030093883 ISBN-13(EAN): 9783030093884
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This volume presents a concise and practical overview of statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and discrete probability distributions. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Table values are provided with examples that enable researchers to easily apply the distributions to real applications and sample data. The left- and right-truncated normal distributions offer a wide variety of shapes in contrast to the symmetrically shaped normal distribution, and a newly developed spread ratio enables analysts to determine which of the three distributions best fits a particular set of sample data. The book will be highly useful to anyone who does statistical and probability analysis. This includes scientists, economists, management scientists, market researchers, engineers, mathematicians, and students in many disciplines.


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