# A note on entropies of l-max stable, p-max stable, generalized Pareto and generalized log-Pareto distributions

@inproceedings{Ravi2012ANO, title={A note on entropies of l-max stable, p-max stable, generalized Pareto and generalized log-Pareto distributions}, author={S. Ravi and Ali Saeb}, year={2012} }

Limit laws of partial maxima of independent, identically distributed random variables under linear normalization are called extreme value laws or l-max stable laws and those under power normal- ization are called p-max stable laws. We derive entropies of these and related laws and also of associated generalized Pareto, generalized log-Pareto and related distributions. Some illustrative graphs are also given.

## 10 Citations

### A note on power generalized extreme value distribution and its properties

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### Tails and probabilities for $p$-outside values

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### PR ] 2 1 Ju l 2 01 9 Tails and probabilities for p-outside values

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### Tails and probabilities for $p$-outliers

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### PR ] 1 1 Fe b 20 19 Tails and probabilities for p-outliers ∗

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### IPO estimation of heaviness of the distribution beyond regularly varying tails

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### Diagnostic plots for identifying max domains of attraction under power normalization

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