Estimation of extreme values by the average conditional exceedance rate method
From MaRDI portal
Publication:1952487
DOI10.1155/2013/797014zbMath1273.62109OpenAlexW2056590834WikidataQ59021454 ScholiaQ59021454MaRDI QIDQ1952487
O. Gaidai, Arvid Naess, O. Karpa
Publication date: 31 May 2013
Published in: Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/797014
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Statistics of extreme values; tail inference (62G32)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimating the parameters of rare events
- Estimating catastrophic quantile levels for heavy-tailed distributions
- Inference for the limiting cluster size distribution of extreme values
- Extremes and related properties of random sequences and processes
- On the characterization of certain point processes
- Statistical inference using extreme order statistics
- The extremal index of a higher-order stationary Markov chain
- On high level exceedance modeling and tail inference
- Approximate distributions of clusters of extremes
- Modelling the distribution of the cluster maxima of exceedances of subasymptotic thresholds
- On estimating the mean energy of sea waves from the highest waves in a record
- Optimization—Theory and Practice
- Statistics for near independence in multivariate extreme values
- The extremal index for a Markov chain
- DETERMINATION OF LINEAR CONNECTION OF MIXED, COVARIANTLY CONSTANT, SECOND ORDER TENSOR FIELD IN TWO-DIMENSIONAL SPACE
- On the Distribution of the First-Passage Time for Normal Stationary Random Processes
- Markov chain models for threshold exceedances
- The distributions of cluster functionals of extreme events in a dth-order Markov chain
- Inference for Clusters of Extreme Values
- Extremes and local dependence in stationary sequences
- A Conditional Approach for Multivariate Extreme Values (with Discussion)
- Extremal Analysis of Processes Sampled at Different Frequencies
- Extreme Values in Samples from $m$-Dependent Stationary Stochastic Processes
- An introduction to statistical modeling of extreme values