Results 21 to 30 of about 42,879 (261)
A fast, single-iteration ensemble Kalman smoother for sequential data assimilation [PDF]
Ensemble variational methods form the basis of the state of the art for nonlinear, scalable data assimilation, yet current designs may not be cost-effective for real-time, short-range forecast systems.
C. Grudzien, C. Grudzien, M. Bocquet
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Minimum-Variance Reduced-Bias Tail Index and High Quantile Estimation
Heavy tailed-models are quite useful in many fields, like insurance, finance, telecommunications, internet traffic, among others, and it is often necessary to estimate a high quantile, i.e., a value that is exceeded with a probability p, small.
Frederico Caeiro , M. Ivette Gomes
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Scalable statistics of correlated random variables and extremes applied to deep borehole porosities [PDF]
We analyze scale-dependent statistics of correlated random hydrogeological variables and their extremes using neutron porosity data from six deep boreholes, in three diverse depositional environments, as example.
A. Guadagnini +4 more
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An Overview and Open Research Topics in Statistics of Univariate Extremes
This review paper focuses on statistical issues arising in modeling univariate extremes of a random sample. In the last three decades there has been a shift from the area of parametric statistics of extremes, based on probabilistic asymptotic results in
Jan Beirlant +2 more
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A range of in situ , satellite and reanalysis products on a common daily 1° × 1° latitude/longitude grid were extracted from the Frequent Rainfall Observations on Grids database to help facilitate intercomparison and analysis of precipitation extremes on
Lisa V Alexander +5 more
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A New Extreme Detection Method for Remote Compound Extremes in Southeast China
The compound heat wave and extreme precipitation events are responsible for severe damages to the environment and human societies. Although major advances have been made in understanding the compound extremes (e.g., drought and heat wave), little is ...
Luqing Wang +6 more
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Condensation and extreme value statistics [PDF]
We study the factorised steady state of a general class of mass transport models in which mass, a conserved quantity, is transferred stochastically between sites. Condensation in such models is exhibited when above a critical mass density the marginal distribution for the mass at a single site develops a bump, $p_{\rm cond}(m)$, at large mass $m$. This
Evans, Martin R., Majumdar, Satya N.
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Direct Reduction of Bias of the Classical Hill Estimator
In this paper we are interested in an adequate estimation of the dominant component of the bias of Hill’s estimator of a positive tail index γ, in order to remove it from the classical Hill estimator in different asymptotically equivalent ways.
Frederico Caeiro +2 more
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Stochastic Comparisons of Extreme Order Statistics in the Heterogeneous Exponentiated Scale Model [PDF]
The effect of heterogeneity on order statistics has attracted much attention in recent decades. In this paper, first, we discuss stochastic comparisons of extreme order statistics from independent heterogeneous exponentiated scale samples.
Esmaeil Bashkar +2 more
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Extreme Values of Permutation Statistics
We investigate extreme values of Mahonian and Eulerian distributions arising from counting inversions and descents of random elements of finite Coxeter groups. To this end, we construct a triangular array of either distribution from a sequence of Coxeter groups with increasing ranks. To avoid degeneracy of extreme values, the number of i.i.d.
Philip Dörr, Thomas Kahle
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