This reply addresses the use of order statistics in extreme value analysis. The author has previously proposed in this journal that the distribution-dependent estimators of plotting position in extreme value analysis should be abandoned and replaced by the Weibull formula. It was also demonstrated that the use of the wrong plotting positions has resulted in underestimation of the probability of extreme-weather events. Cook’s comments challenge these developments and defend the previously presented plotting methods. In this reply it is outlined that the Weibull formula provides the exact probability PI of nonexceedance in order-ranked data. Hence, there is no sampling error related to PI. This renders Cook’s primary arguments invalid. The sp...
Hilsdorf and MUller's detailed discussion is deeply appreciated. They raise several interesting...
This thesis focuses on the validation and description of the Gumbel distribution. Since this is a sc...
. Alexander McNeil's (1996) study of the Danish data on large fire insurance losses provides an...
This reply addresses the use of order statistics in extreme value analysis. The author has previousl...
Plotting positions are used in the extreme value analysis for many engineering applications. The aut...
Extreme value analysis (EVA) is an essential part of the statistical methodology for securing struct...
Plotting order-ranked data is a standard technique that is used in estimating the probability of ext...
In this article, it is explicitly demonstrated that the probability of non exceedance of the mth val...
This paper discusses the use of order statistics in estimating the parameters of the extreme value d...
An improved method to estimate the probability of extreme events from independent observations is pr...
<p>Extreme value theory models have found applications in myriad fields. Maximum likelihood (ML) is ...
The clustering of events can have a large impact on society. The extremal index $\theta$ tells how m...
[Departement_IRSTEA]Territoires [ADD1_IRSTEA]Adaptation des territoires au changement globalInternat...
Extreme value theory concerns the behavior of the extremes of a process or processes. The fundamenta...
Extreme value theory is commonly used in offshore engineering to estimate extreme significant wave h...
Hilsdorf and MUller's detailed discussion is deeply appreciated. They raise several interesting...
This thesis focuses on the validation and description of the Gumbel distribution. Since this is a sc...
. Alexander McNeil's (1996) study of the Danish data on large fire insurance losses provides an...
This reply addresses the use of order statistics in extreme value analysis. The author has previousl...
Plotting positions are used in the extreme value analysis for many engineering applications. The aut...
Extreme value analysis (EVA) is an essential part of the statistical methodology for securing struct...
Plotting order-ranked data is a standard technique that is used in estimating the probability of ext...
In this article, it is explicitly demonstrated that the probability of non exceedance of the mth val...
This paper discusses the use of order statistics in estimating the parameters of the extreme value d...
An improved method to estimate the probability of extreme events from independent observations is pr...
<p>Extreme value theory models have found applications in myriad fields. Maximum likelihood (ML) is ...
The clustering of events can have a large impact on society. The extremal index $\theta$ tells how m...
[Departement_IRSTEA]Territoires [ADD1_IRSTEA]Adaptation des territoires au changement globalInternat...
Extreme value theory concerns the behavior of the extremes of a process or processes. The fundamenta...
Extreme value theory is commonly used in offshore engineering to estimate extreme significant wave h...
Hilsdorf and MUller's detailed discussion is deeply appreciated. They raise several interesting...
This thesis focuses on the validation and description of the Gumbel distribution. Since this is a sc...
. Alexander McNeil's (1996) study of the Danish data on large fire insurance losses provides an...