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Journal ArticleDOI

Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire

B. W. Gnedenko
- 01 Jul 1943 - 
- Vol. 44, Iss: 3, pp 423
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This article is published in Annals of Mathematics.The article was published on 1943-07-01. It has received 2037 citations till now.

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On the Relationship Between Stability of Extreme Order Statistics and Convergence of the Maximum Likelihood Kernel Density Estimate

TL;DR: In this article, a density on the real line is defined and the kernel estimate of the density is obtained by maximizing the cross-validated likelihood product according to the method of Duin and Habbema, Hermansand Vandenbroek.
Journal ArticleDOI

Joint values determination of wind and temperature actions on long-span bridges: Copula-based analysis using long-term meteorological data

TL;DR: In this article, a copula-based technique was proposed to assess joint values of wind and temperature actions on long-span bridges using long-term meteorological data, which was applied to a currently constructed cable-stayed bridge with the longest main span in the world, namely the Changtai Yangtze River Bridge in China.
Journal ArticleDOI

Development of a Reliability Model to Analyse the Causes of a Poultry Module Failure

TL;DR: In this article, a mathematical model of reliability has been developed for a poultry module, which is designed for quantitative analysis of the causes of such a system failure, and the reliability of the module for keeping poultry is formalized with a fault tree, which sets logical conditions for the appearance of the system failure.
Journal ArticleDOI

Regular variation and probability: The early years

TL;DR: Bingham of Bingham, Goldie and Teugels as mentioned in this paper was the first probabilistic book that regular variation so obviously required, and it has continued to attract my interest.
Book ChapterDOI

Monte Carlo Simulation Studies

TL;DR: This chapter focuses on Monte Carlo simulation studies in which the sampling properties of statistical procedures are investigated, and discusses a few important principles in the design and analysis of these Monte Carlo studies.