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Statistical Extremes and Applications
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Statistical Extremes: Theory and Applications, Motivation and Perspectives
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Chapter 2
Introduction, Order Statistics, Exceedances. Laws of Large Numbers
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Chapter 3
Asymptotics; Stable Laws for Extremes; Tail Properties
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Chapter 4
Slow Variation and Characterization of Domains of Attraction
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Chapter 5
Introduction, Gumbel Model
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Chapter 6
Statistical Estimation of Parameters of the Weibull and Frechet Distributions
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Chapter 7
Univariate Extremes; Statistical Choice
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Chapter 8
Statistical Estimation in Extreme Value Theory
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Chapter 9
Probabilistic Aspects of Multivariate Extremes
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Chapter 10
Bivariate Models for Extremes; Statistical Decision
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Chapter 11
Extremes in Dependent Random Sequences
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Chapter 12
Extremes in Continuous Stochastic Processes
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Chapter 13
Comparison Technique for Highly Dependent Stationary Gaussian Processes
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Chapter 14
Extremes in Hydrology
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Chapter 15
Application of Extreme Values in Structural Engineering
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Chapter 16
Extremes in Meteorology
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Chapter 17
Extreme Values in Insurance Mathematics
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Chapter 18
Use and Structure of Slepian Model Processes for Prediction and Detection in Crossing and Extreme Value Theory
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Chapter 19
Spline and Isotonic Estimation of the Pareto Function
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Chapter 20
Extremal Processes
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Chapter 21
Extreme Values for Sequences of Stable Random Variables
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Chapter 22
Large Deviations of Extremes
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Chapter 23
Uniform Rates of Convergence to Extreme Value Distributions
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Chapter 24
Rates of Convergence in Extreme Value Theory
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Chapter 25
Concomitants in a Multidimensional Extreme Model
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Chapter 26
A Short Cut Algorithm for Obtaining Coefficients of the Blue’s
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Chapter 27
Statistical Choice of Univariate Extreme Models. Part II
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Chapter 28
Doubly Exponential Random Number Generators
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Chapter 29
Probability Problems in Seismic Risk and Load Combinations for Power Plants
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Chapter 30
The Distribution of the Maximal Time Till Departure from a State in a Markov Chain
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Chapter 31
The Box-Jenkins Model and the Progressive Fatigue Failure of Large Parallel Element Stay Tendons
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Chapter 32
The Asymptotic Behaviour of the Maximum Likelihood Estimates for Univariate Extremes
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Chapter 33
On Upper and Lower Extremes in Stationary Sequences
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Chapter 34
Modelling Excesses over High Thresholds, with an Application
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Chapter 35
Stationary Min-Stable Stochastic Processes
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Chapter 36
Strong Approximations of Records and Record Times
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Chapter 37
High Percentiles Atmospheric SO2-Concentrations in Belgium
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Chapter 38
Extreme Response of the Linear Oscillator with Modulated Random Excitation
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Chapter 39
Frost Data: A Case Study on Extreme Values of Non-Stationary Sequences
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Chapter 40
Estimation of the Scale and Location Parameters of the Extreme Value (Gumbel) Distribution for Large Censored Samples
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Chapter 41
Asymptotic Behaviour of the Extreme Order Statistics in the Non Identically Distributed Case
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Chapter 42
Limit Distribution of the Minimum Distance between Independent and Identically Distributed d-Dimensional Random Variables
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Chapter 43
Approximate Values for the Moments of Extreme Order Statistics in Large Samples
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Chapter 44
Estimation of Parameters of Extreme Order Distributions of Exponential Type Parents
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Chapter 45
On Ordered Uniform Spacings for Testing Goodness of Fit
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Chapter 46
Inequalities for the Relative Sufficiency between Sets of Order Statistics
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Chapter 47
Pot-Estimation of Extreme Sea States and the Benefit of Using Wind Data
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Chapter 48
Threshold Methods for Sample Extremes
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Chapter 49
On Successive Record Values in a Sequence of Independent Identically Distributed Random Variables
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Chapter 50
Two Test Statistics for Choice of Univariate Extreme Models
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Chapter 51
On the Asymptotic Upcrossings of a Class of Non-Stationary Sequences
Overall attention for this book and its chapters
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Mentioned by
blogs
1
blog
syllabi
2
institutions with syllabi
wikipedia
1
Wikipedia page
Citations
dimensions_citation
73
Dimensions
Readers on
mendeley
8
Mendeley
Book overview
1. Statistical Extremes: Theory and Applications, Motivation and Perspectives
2. Introduction, Order Statistics, Exceedances. Laws of Large Numbers
3. Asymptotics; Stable Laws for Extremes; Tail Properties
4. Slow Variation and Characterization of Domains of Attraction
5. Introduction, Gumbel Model
6. Statistical Estimation of Parameters of the Weibull and Frechet Distributions
7. Univariate Extremes; Statistical Choice
8. Statistical Estimation in Extreme Value Theory
9. Probabilistic Aspects of Multivariate Extremes
10. Bivariate Models for Extremes; Statistical Decision
11. Extremes in Dependent Random Sequences
12. Extremes in Continuous Stochastic Processes
13. Comparison Technique for Highly Dependent Stationary Gaussian Processes
14. Extremes in Hydrology
15. Application of Extreme Values in Structural Engineering
16. Extremes in Meteorology
17. Extreme Values in Insurance Mathematics
18. Use and Structure of Slepian Model Processes for Prediction and Detection in Crossing and Extreme Value Theory
19. Spline and Isotonic Estimation of the Pareto Function
20. Extremal Processes
21. Extreme Values for Sequences of Stable Random Variables
22. Large Deviations of Extremes
23. Uniform Rates of Convergence to Extreme Value Distributions
24. Rates of Convergence in Extreme Value Theory
25. Concomitants in a Multidimensional Extreme Model
26. A Short Cut Algorithm for Obtaining Coefficients of the Blue’s
27. Statistical Choice of Univariate Extreme Models. Part II
28. Doubly Exponential Random Number Generators
29. Probability Problems in Seismic Risk and Load Combinations for Power Plants
30. The Distribution of the Maximal Time Till Departure from a State in a Markov Chain
31. The Box-Jenkins Model and the Progressive Fatigue Failure of Large Parallel Element Stay Tendons
32. The Asymptotic Behaviour of the Maximum Likelihood Estimates for Univariate Extremes
33. On Upper and Lower Extremes in Stationary Sequences
34. Modelling Excesses over High Thresholds, with an Application
35. Stationary Min-Stable Stochastic Processes
36. Strong Approximations of Records and Record Times
37. High Percentiles Atmospheric SO2-Concentrations in Belgium
38. Extreme Response of the Linear Oscillator with Modulated Random Excitation
39. Frost Data: A Case Study on Extreme Values of Non-Stationary Sequences
40. Estimation of the Scale and Location Parameters of the Extreme Value (Gumbel) Distribution for Large Censored Samples
41. Asymptotic Behaviour of the Extreme Order Statistics in the Non Identically Distributed Case
42. Limit Distribution of the Minimum Distance between Independent and Identically Distributed d-Dimensional Random Variables
43. Approximate Values for the Moments of Extreme Order Statistics in Large Samples
44. Estimation of Parameters of Extreme Order Distributions of Exponential Type Parents
45. On Ordered Uniform Spacings for Testing Goodness of Fit
46. Inequalities for the Relative Sufficiency between Sets of Order Statistics
47. Pot-Estimation of Extreme Sea States and the Benefit of Using Wind Data
48. Threshold Methods for Sample Extremes
49. On Successive Record Values in a Sequence of Independent Identically Distributed Random Variables
50. Two Test Statistics for Choice of Univariate Extreme Models
51. On the Asymptotic Upcrossings of a Class of Non-Stationary Sequences
Summary
Blogs
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Imperial College London
2
Unknown
Westfälische Wilhelms-Universität Münster
1
Economics, Biology