Results 61 to 70 of about 490,818 (297)

Parameter Estimation for Generalized Extreme Value Distribution in Rainfall Forecasting: A Case Study of Bangkok

open access: yesJournal of Applied Science and Engineering
This study aims to compare efficiency methods for the estimated parameter of Generalized Extreme Value Distribution (GEVD), which consists of location, scale, and shape parameters. The parameter estimation employs the maximum likelihood (ML), generalized
Autcha Araveeporn, Paradorn Sukpan
doaj   +1 more source

Forecast verification for extreme value distributions with an application to probabilistic peak wind prediction

open access: yes, 2012
Predictions of the uncertainty associated with extreme events are a vital component of any prediction system for such events. Consequently, the prediction system ought to be probabilistic in nature, with the predictions taking the form of probability ...
Friederichs, Petra   +1 more
core   +1 more source

Accessing extremes of mid-latitudinal wave activity: methodology and application [PDF]

open access: yes, 2009
A statistical methodology is proposed and tested for the analysis of extreme values of atmospheric wave activity at mid-latitudes. The adopted methods are the classical block-maximum and peak over threshold, respectively based on the generalized ...
Dell'Aquila, Alessandro   +5 more
core   +1 more source

Modelling Extreme Rainfall using Extended Generalized Extreme Value Distribution

open access: yesInternational Journal of Analysis and Applications
This study assesses the performance of extended generalized extreme value (GEV) distribution based on Kumaraswamy generalized extreme value (KumGEV) distribution using the maximum likelihood estimates on extreme rainfall data obtained from a weather station in Phitsanulok province, a total of 408 months during January 1987 to December 2021.
N. Deetae, P. Khamrot, K. Jampachaisri
openaire   +1 more source

Modelling Extreme Temperature In Malaysia Using Generalized Extreme Value Distribution

open access: yes, 2013
{"references": ["Blain, G. C. (2011), Modeling Extreme Minimum Temperature Series\nunder Climate Change Conditions. Ci\u251c\u00acncia Rural, Santa Maria, v.41,\nNo11, p.1877-1883.", "Climate Change Scenarios for Malaysia 2001-2009, Malaysian\nMeteorological Department Scientific Report, January 2009. [Accessed\n27th April 2012].
Husna Hasan   +2 more
openaire   +1 more source

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

open access: yesArthritis Care &Research, EarlyView.
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo   +88 more
wiley   +1 more source

MODEL CURAH HUJAN EKSTREM DI KOTA SEMARANG MENGGUNAKAN ESTIMASI MOMENT PROBABILITAS TERBOBOTI

open access: yesMedia Statistika, 2015
The methods is used to analyze extreme rainfall is the Extreme Value Theory (EVT). One of the approaches of EVT is the Block Maxima (BM) which it follows the distribution of Generalized Extreme Value (GEV).
Agus Rusgiyono   +2 more
doaj   +1 more source

Influence of Pacific Decadal Oscillation on global precipitation extremes

open access: yesEnvironmental Research Letters, 2021
While the influence of the Pacific Decadal Oscillation (PDO) on precipitation has been extensively studied, its influence on precipitation extremes remains not well-known.
Wenguang Wei, Zhongwei Yan, Zhen Li
doaj   +1 more source

Extreme value analysis of Munich airpollution data [PDF]

open access: yes, 1995
We present three different approaches to model extreme values of daily air pollution data. We fitted a generalized extreme value distribution to the monthly maxima of daily concentration measures.
Küchenhoff, Helmut, Thamerus, Markus
core   +1 more source

Generating multivariate extreme value distributions

open access: yes, 2012
We define in a probabilistic way a parametric family of multivariate extreme value distributions. We derive its copula, which is a mixture of several complete dependent copulas and total independent copulas, and the bivariate tail dependence and extremal coefficients.
openaire   +2 more sources

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