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Fitting Statistical Distributions, Karian, Zaven A. , Dudewicz, Edward J.


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Автор: Karian, Zaven A. , Dudewicz, Edward J.
Название:  Fitting Statistical Distributions
ISBN: 9780367398613
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367398613
Обложка/Формат: Paperback
Страницы: 456
Вес: 1.86 кг.
Дата издания: 27.09.2019
Язык: English
Размер: 231 x 155 x 25
Читательская аудитория: Tertiary education (us: college)
Основная тема: Statistical Theory & Methods
Подзаголовок: The Generalized Lambda Distribution and Generalized Bootstrap Methods
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from-all with their own formulas, tables, diagrams, and general properties-continue to create problems. For a specific application, which of the dozens of distributions should one use? What if none of them fit well?

Fitting Statistical Distributions helps answer those questions. Focusing on techniques used successfully across many fields, the authors present all of the relevant results related to the Generalized Lambda Distribution (GLD), the Generalized Bootstrap (GB), and Monte Carlo simulation (MC). They provide the tables, algorithms, and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions, and including situations where moments do not exist.

Regardless of your specific field-physical science, social science, or statistics, practitioner or theorist-Fitting Statistical Distributions is required reading. It includes wide-ranging applications illustrating the methods in practice and offers proofs of key results for those involved in theoretical development. Without it, you may be using obsolete methods, wasting time, and risking incorrect results.




Life Distributions

Автор: Albert W. Marshall; Ingram Olkin
Название: Life Distributions
ISBN: 1441919112 ISBN-13(EAN): 9781441919113
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This book is devoted to the study of univariate distributions appropriate for the analyses of data known to be nonnegative. The book includes much material from reliability theory in engineering and survival analysis in medicine.

Distributions With Given Marginals and Statistical Modelling

Автор: Carles M. Cuadras; Josep Fortiana; Jos? A. Rodr?gu
Название: Distributions With Given Marginals and Statistical Modelling
ISBN: 1402009143 ISBN-13(EAN): 9781402009143
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Contains a selection of the papers presented at the meeting `Distributions with given marginals and statistical modelling`, held in Barcelona, July 17-20, 2000. This book covers topics such as the theory of copulas and quasi-copulas, the theory and compatibility of distributions, models for survival distributions, and others.

Statistical Distributions

Автор: Nick T. Thomopoulos
Название: Statistical Distributions
ISBN: 3319651110 ISBN-13(EAN): 9783319651118
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book gives a description of the group of statistical distributions that have ample application to studies in statistics and probability.

Statistical Distributions

Автор: Wright Calanthia
Название: Statistical Distributions
ISBN: 1682851648 ISBN-13(EAN): 9781682851647
Издательство: Неизвестно
Цена: 24140.00 р.
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Описание: Statistical distribution aims to measure different subsets of a possible outcome by assigning a probability and is beneficial in random surveys. It is further divided into various sub-categories and has wide ranging applications in diverse scientific and engineering fields. The book focuses upon discrete, continuous and mixed probability distributions with detailed examples. It provides various graphs and methodologies to measure the sample space of random variables. Applied probability is extensively discussed in this book through different researches which makes it a very helpful reference source for students, researchers and academicians.

Continuous Univariate Distributions

Автор: Johnson, N.L.
Название: Continuous Univariate Distributions
ISBN: 0471584959 ISBN-13(EAN): 9780471584957
Издательство: Wiley
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Цена: 36424.00 р.
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Описание: This volume contains a detailed description of the statistical distributions that are commonly used in various applied areas, such as engineering, business, economics and the behavioural, biological and environmental sciences. It covers general and specific continuous distributions.

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.
Наличие на складе: Поставка под заказ.

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.

Finite Mixture of Skewed Distributions

Автор: Lachos D?vila
Название: Finite Mixture of Skewed Distributions
ISBN: 3319980289 ISBN-13(EAN): 9783319980287
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions (SMSN).

A Modern Course on Statistical Distributions in Scientific Work

Автор: Ganapati P. Patil; S. Kotz; J.K. Ord
Название: A Modern Course on Statistical Distributions in Scientific Work
ISBN: 9027706077 ISBN-13(EAN): 9789027706072
Издательство: Springer
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Цена: 32144.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute, Calgary, Alberta, Canada, 1974

Distributions in the Physical and Engineering Sciences, Volume 3

Автор: Alexander I. Saichev; Wojbor A. woyczy?ski
Название: Distributions in the Physical and Engineering Sciences, Volume 3
ISBN: 3030064670 ISBN-13(EAN): 9783030064679
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Continuing the authors’ multivolume project, this text considers the theory of distributions from an applied perspective, demonstrating how effective a combination of analytic and probabilistic methods can be for solving problems in the physical and engineering sciences. Volume 1 covered foundational topics such as distributional and fractional calculus, the integral transform, and wavelets, and Volume 2 explored linear and nonlinear dynamics in continuous media. With this volume, the scope is extended to the use of distributional tools in the theory of generalized stochastic processes and fields, and in anomalous fractional random dynamics.

Chapters cover topics such as probability distributions; generalized stochastic processes, Brownian motion, and the white noise; stochastic differential equations and generalized random fields; Burgers turbulence and passive tracer transport in Burgers flows; and linear, nonlinear, and multiscale anomalous fractional dynamics in continuous media. The needs of the applied-sciences audience are addressed by a careful and rich selection of examples arising in real-life industrial and scientific labs and a thorough discussion of their physical significance. Numerous illustrations generate a better understanding of the core concepts discussed in the text, and a large number of exercises at the end of each chapter expand on these concepts.
Distributions in the Physical and Engineering Sciences is intended to fill a gap in the typical undergraduate engineering/physical sciences curricula, and as such it will be a valuable resource for researchers and graduate students working in these areas. The only prerequisites are a three-four semester calculus sequence (including ordinary differential equations, Fourier series, complex variables, and linear algebra), and some probability theory, but basic definitions and facts are covered as needed. An appendix also provides background material concerning the Dirac-delta and other distributions.

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