Univariate Stable Distributions: Models for Heavy Tailed Data, Nolan John P.

Автор: Mohammad Ahsanullah
Название: Characterizations of univariate continuous distributions.
ISBN: 9462391386 ISBN-13(EAN): 9789462391383
Издательство: Springer
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Цена: 88500.00 T
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Описание: Provides in an organized manner characterizations of univariate probability distributions with many new results published in this area since the 1978 work of Golambos & Kotz "Characterizations of Probability Distributions" (Springer), together with applications of the theory in model fitting and predictions.

Автор: Johnson, N.L.
Название: Continuous Univariate Distributions
ISBN: 0471584940 ISBN-13(EAN): 9780471584940
Издательство: Wiley
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Цена: 242830.00 T
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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.

Автор: Johnson, N.L.
Название: Continuous Univariate Distributions
ISBN: 0471584959 ISBN-13(EAN): 9780471584957
Издательство: Wiley
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Цена: 242830.00 T
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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.

Автор: G.G. Hamedani
Название: Characterizations of Recently Introduced Univariate Continuous Distributions II
ISBN: 1536150959 ISBN-13(EAN): 9781536150957
Издательство: Nova Science
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Цена: 215410.00 T
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Описание: This monograph is, as far as the author has gathered, the second of its kind (the first one was published by Nova in 2017 with coauthors Hamedani and Maadooliat) which presents various characterizations of a wide variety of continuous distributions. These two monographs could also be used as sources to prevent reinventing and duplicating the already exiting distributions. The current book consists of seven chapters. The first chapter lists cumulative and density functions of two hundred and twenty univariate distributions. Chapter two provides characterizations of these distributions: (i) based on the ration of two truncated moments; (ii) in terms of the hazard function; (iii) in terms of the reverse hazard function; (iv) based on the conditional expectation of certain functions of the random variable. Chapter three includes the characterizations of twenty distributions, which appeared in a published paper (Hamedani and Safavimanesh, 2017). Chapter four presents characterizations of thirty six distributions, contains a published paper (Hamedani, 2017). Chapter five covers the characterizations of forty one distributions, which appeared in a published paper (Hamedani, 2018a). Chapter six presents characterizations of eighty distributions, contained in a published paper (Hamedani, 2018b). Finally, chapter seven consists of seventy proposed distributions. The main reason to include previously published papers in Chapters 3-6 is to provide a rather complete source for the interested researchers who would want to avoid reinventing the existing distributions.

Автор: V. Pisarenko; M. Rodkin
Название: Heavy-Tailed Distributions in Disaster Analysis
ISBN: 9400732856 ISBN-13(EAN): 9789400732858
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book presents new approaches to seismic risk estimation and forecasting the damage caused by all types of earthquakes. It examines trends in the costs inferred by damage as related to changing social and economic situations for different regions.

Автор: Marat Ibragimov; Rustam Ibragimov; Johan Walden
Название: Heavy-Tailed Distributions and Robustness in Economics and Finance
ISBN: 3319168762 ISBN-13(EAN): 9783319168760
Издательство: Springer
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Цена: 65210.00 T
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Описание: This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. These results motivate the development and applications of robust inference approaches under heavy tails, heterogeneity and dependence in observations.

Автор: A.A. Borovkov
Название: Asymptotic Analysis of Random Walks: Light-Tailed Distributions
ISBN: 1107074681 ISBN-13(EAN): 9781107074682
Издательство: Cambridge Academ
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Цена: 132000.00 T
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Описание: This is a complete and systematic modern treatise on large deviation theory for random walks with light-tailed jump distributions, presented by one of its key creators. Such distributions have numerous applications in statistics, ruin theory, and queuing theory. This is a companion to the author`s earlier monograph on heavy-tailed distributions.

Автор: Kim, Kevin , Timm, Neil
Название: Univariate and Multivariate General Linear Models
ISBN: 0367453444 ISBN-13(EAN): 9780367453442
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Описание: Using a general framework, this book presents analyses of simple and complex models, employing data sets from various disciplines, such as the social and behavioral sciences. This new edition adds two chapters on finite intersection tests and power analysis that illustrates the experimental GLMPOWER procedure. It includes expanded theory on unrestr