Author: Richard Davis
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 66
Book Description
Extremes of Moving Averages of Ramdon [i.e. Random] Variables from the Domain of Attraction of the Double Exponential Distribution
Author: Richard Davis
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 66
Book Description
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 66
Book Description
Extremes of Moving Averages of Random Variables with Finite Endpoint
Author: Richard A. Davis
Publisher:
ISBN:
Category :
Languages : en
Pages : 28
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 28
Book Description
Extreme Value Theory for Time Series
Author: Thomas Mikosch
Publisher: Springer Nature
ISBN: 3031591569
Category :
Languages : en
Pages : 768
Book Description
Publisher: Springer Nature
ISBN: 3031591569
Category :
Languages : en
Pages : 768
Book Description
Extremes and Related Properties of Random Sequences and Processes
Author: M. R. Leadbetter
Publisher: Springer Science & Business Media
ISBN: 1461254493
Category : Mathematics
Languages : en
Pages : 344
Book Description
Classical Extreme Value Theory-the asymptotic distributional theory for maxima of independent, identically distributed random variables-may be regarded as roughly half a century old, even though its roots reach further back into mathematical antiquity. During this period of time it has found significant application-exemplified best perhaps by the book Statistics of Extremes by E. J. Gumbel-as well as a rather complete theoretical development. More recently, beginning with the work of G. S. Watson, S. M. Berman, R. M. Loynes, and H. Cramer, there has been a developing interest in the extension of the theory to include, first, dependent sequences and then continuous parameter stationary processes. The early activity proceeded in two directions-the extension of general theory to certain dependent sequences (e.g., Watson and Loynes), and the beginning of a detailed theory for stationary sequences (Berman) and continuous parameter processes (Cramer) in the normal case. In recent years both lines of development have been actively pursued.
Publisher: Springer Science & Business Media
ISBN: 1461254493
Category : Mathematics
Languages : en
Pages : 344
Book Description
Classical Extreme Value Theory-the asymptotic distributional theory for maxima of independent, identically distributed random variables-may be regarded as roughly half a century old, even though its roots reach further back into mathematical antiquity. During this period of time it has found significant application-exemplified best perhaps by the book Statistics of Extremes by E. J. Gumbel-as well as a rather complete theoretical development. More recently, beginning with the work of G. S. Watson, S. M. Berman, R. M. Loynes, and H. Cramer, there has been a developing interest in the extension of the theory to include, first, dependent sequences and then continuous parameter stationary processes. The early activity proceeded in two directions-the extension of general theory to certain dependent sequences (e.g., Watson and Loynes), and the beginning of a detailed theory for stationary sequences (Berman) and continuous parameter processes (Cramer) in the normal case. In recent years both lines of development have been actively pursued.
Extreme Value Distributions
Author: Samuel Kotz
Publisher: World Scientific
ISBN: 1860944027
Category : Mathematics
Languages : en
Pages : 195
Book Description
This important book provides an up-to-date comprehensive and down-to-earth survey of the theory and practice of extreme value distributions OCo one of the most prominent success stories of modern applied probability and statistics. Originated by E J Gumbel in the early forties as a tool for predicting floods, extreme value distributions evolved during the last 50 years into a coherent theory with applications in practically all fields of human endeavor where maximal or minimal values (the so-called extremes) are of relevance. The book is of usefulness both for a beginner with a limited probabilistic background and to expert in the field. Sample Chapter(s). Chapter 1.1: Historical Survey (139 KB). Chapter 1.2: The Three Types of Extreme Value Distributions (146 KB). Chapter 1.3: Limiting Distributions and Domain of Attraction (210 KB). Chapter 1.4: Distribution Function and Moments of Type 1 Distribution (160 KB). Chapter 1.5: Order Statistics, Record Values and Characterizations (175 KB). Contents: Univariate Extreme Value Distributions; Generalized Extreme Value Distributions; Multivariate Extreme Value Distributions. Readership: Applied probabilists, applied statisticians, environmental scientists, climatologists, industrial engineers and management experts."
Publisher: World Scientific
ISBN: 1860944027
Category : Mathematics
Languages : en
Pages : 195
Book Description
This important book provides an up-to-date comprehensive and down-to-earth survey of the theory and practice of extreme value distributions OCo one of the most prominent success stories of modern applied probability and statistics. Originated by E J Gumbel in the early forties as a tool for predicting floods, extreme value distributions evolved during the last 50 years into a coherent theory with applications in practically all fields of human endeavor where maximal or minimal values (the so-called extremes) are of relevance. The book is of usefulness both for a beginner with a limited probabilistic background and to expert in the field. Sample Chapter(s). Chapter 1.1: Historical Survey (139 KB). Chapter 1.2: The Three Types of Extreme Value Distributions (146 KB). Chapter 1.3: Limiting Distributions and Domain of Attraction (210 KB). Chapter 1.4: Distribution Function and Moments of Type 1 Distribution (160 KB). Chapter 1.5: Order Statistics, Record Values and Characterizations (175 KB). Contents: Univariate Extreme Value Distributions; Generalized Extreme Value Distributions; Multivariate Extreme Value Distributions. Readership: Applied probabilists, applied statisticians, environmental scientists, climatologists, industrial engineers and management experts."
Statistical Theory and Method Abstracts
Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 1092
Book Description
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 1092
Book Description
Current Index to Statistics, Applications, Methods and Theory
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 676
Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 676
Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Weak Convergence of Sums of Moving Averages in the Alpha-Stable Domain of Attraction
Author: Florin Avram
Publisher:
ISBN:
Category :
Languages : en
Pages : 30
Book Description
Skorohod has shown that the convergence of sums of i.i.d. random variables to an alpha-stable Levy process, with 0
Publisher:
ISBN:
Category :
Languages : en
Pages : 30
Book Description
Skorohod has shown that the convergence of sums of i.i.d. random variables to an alpha-stable Levy process, with 0
Characterization Problems Associated with the Exponential Distribution
Author: T. A. Azlarov
Publisher: Springer
ISBN:
Category : Mathematics
Languages : en
Pages : 152
Book Description
Problems of calculating the reliability of instruments and systems and the development of measures to increase efficiency and reduce operational costs confronted physicists and mathe maticians at the end of the '40's and the beginning of the '50's in connection with the unrelia bility of electro-vacuum instruments used in aviation. Since then steadily increasing demands for the accuracy, reliability and complexity required in electronic equipment have served as a stimulus in the development of the theory of reliability. From 1950 to 1955 Epstein and Sobel [67,68] and Davis [62], in an analysis of statistical data of the operating time of an instrument up to failure, showed that the distribution is exponential in many cases. Consequently, the ex ponential distribution became basic to research associated with experiments on life expectancy. Further research has shown that there are a whole series of problems in reliability theory for which the exponential distribution is inapplicable. However, it can practically always be used as a first approximation. The ease of computational work due to the nice properties of the exponential distribution (for example, the lack of memory property, see Section 1) is also a reason for its frequent use. AB a rule, data on the behavior of the failure rate function are used to test the hypothesis that a given distribution belongs to the class of exponential distributions, and order statistics are used to estimate the parameter of the exponential distribution.
Publisher: Springer
ISBN:
Category : Mathematics
Languages : en
Pages : 152
Book Description
Problems of calculating the reliability of instruments and systems and the development of measures to increase efficiency and reduce operational costs confronted physicists and mathe maticians at the end of the '40's and the beginning of the '50's in connection with the unrelia bility of electro-vacuum instruments used in aviation. Since then steadily increasing demands for the accuracy, reliability and complexity required in electronic equipment have served as a stimulus in the development of the theory of reliability. From 1950 to 1955 Epstein and Sobel [67,68] and Davis [62], in an analysis of statistical data of the operating time of an instrument up to failure, showed that the distribution is exponential in many cases. Consequently, the ex ponential distribution became basic to research associated with experiments on life expectancy. Further research has shown that there are a whole series of problems in reliability theory for which the exponential distribution is inapplicable. However, it can practically always be used as a first approximation. The ease of computational work due to the nice properties of the exponential distribution (for example, the lack of memory property, see Section 1) is also a reason for its frequent use. AB a rule, data on the behavior of the failure rate function are used to test the hypothesis that a given distribution belongs to the class of exponential distributions, and order statistics are used to estimate the parameter of the exponential distribution.
Extreme Values, Regular Variation, and Point Processes
Author: Sidney I. Resnick
Publisher: Springer Science & Business Media
ISBN: 9780387759524
Category : Mathematics
Languages : en
Pages : 338
Book Description
This book examines the fundamental mathematical and stochastic process techniques needed to study the behavior of extreme values of phenomena based on independent and identically distributed random variables and vectors. It emphasizes the core primacy of three topics necessary for understanding extremes: the analytical theory of regularly varying functions; the probabilistic theory of point processes and random measures; and the link to asymptotic distribution approximations provided by the theory of weak convergence of probability measures in metric spaces.
Publisher: Springer Science & Business Media
ISBN: 9780387759524
Category : Mathematics
Languages : en
Pages : 338
Book Description
This book examines the fundamental mathematical and stochastic process techniques needed to study the behavior of extreme values of phenomena based on independent and identically distributed random variables and vectors. It emphasizes the core primacy of three topics necessary for understanding extremes: the analytical theory of regularly varying functions; the probabilistic theory of point processes and random measures; and the link to asymptotic distribution approximations provided by the theory of weak convergence of probability measures in metric spaces.