scientific article; zbMATH DE number 3089544

From MaRDI portal
Publication:5828365

zbMath0056.13107MaRDI QIDQ5828365

E. J. Gumbel

Publication date: 1954


Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.



Related Items (26)

How could the Gompertz-Makeham law evolveMulticuts and perturb \& MAP for probabilistic graph clusteringACCEPTANCE SAMPLING PLANS FOR PERCENTILES OF GUMBEL DISTRIBUTIONOne-stage tree: end-to-end tree builder and prunerBivariate two sample test based on exceedance statisticsDeep unsupervised feature selection by discarding nuisance and correlated featuresEntropic approach to multiscale clustering analysisLearning joint latent representations based on information maximizationHow do people build up visual memory representations from sensory evidence? Revisiting two classic models of choiceCorrelations between record events in sequences of random variables with a linear trendOn a new sample rank of an order statistics and its concomitant.Comprehensive evaluation of regional flood frequency analysis by L- and LH-moments. II: Development of LH-moments parameters for the generalized Pareto and generalized logistic distributionsProbabilistic Correlation Clustering and Image Partitioning Using Perturbed MulticutsExtreme value correction: a method for correcting optimistic estimations in rule learningTruncated random measuresFractals, clusters, and order-statistics: A new relation between probability and entropyEmil J. Gumbel's last course on the ``Statistical theory of extreme values: a conversation with Tuncel M. YegulalpA Learning Framework for Winner-Take-All Networks with Stochastic SynapsesUnnamed ItemThe exponentiated Gumbel type-2 distribution: properties and applicationGumbel distribution with heavy tails and applications to environmental dataA new R package for actuarial survival modelsA Modified Chi-squared Approach for Fitting WEIBULL Models to Synthetic Life Tables1Ordered random variablesOn the strength of classical fibres and fibre bundlesA fractal approach for the statistics of extremes with application to evolutionary biology




This page was built for publication: