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Fitting a Generalised Extreme Value Distribution to Four Candidate Annual Maximum Flood Heights Time Series Models in the Lower Limpopo River Basin of Mozambique

https://doi.org/10.5772/intechopen.82140

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4471-3675-0openalex-snapshot

An Introduction to Statistical Modeling of Extreme Values

inferredcites →https://doi.org/10.1080/09720510.2014.927602openalex-snapshot

Investigating the goodness-of-fit of ten candidate distributions and estimating high quantiles of extreme floods in the lower Limpopo River Basin, Mozambique

inferredcites →https://doi.org/10.1214/14-aos1280openalex-snapshot

On the block maxima method in extreme value theory: PWM estimators

inferredcites →https://doi.org/10.4102/jamba.v8i1.185openalex-snapshot

Modelling non-stationary annual maximum flood heights in the lower Limpopo River basin of Mozambique

inferredcites →https://doi.org/10.48550/arxiv.1301.5611openalex-snapshot

Maximum likelihood estimators for the extreme value index based on the block maxima method

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inferred← citeshttps://doi.org/10.2139/ssrn.4641927openalex-extracted

Flood Inundation Mapping for Probabilistic Future Flood: A Case Study of Teesta River in Bangladesh

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