Results 31 to 40 of about 27,028,042 (341)

An improved method of extreme value analysis

open access: yesJournal of Hydrology X, 2019
An improved method to estimate the probability of extreme events from independent observations is presented. The method, called VWLS, is based on minimizing the variance of order-ranked observations plotted according to their true probability and ...
Lasse Makkonen, Maria Tikanmäki
doaj   +1 more source

The Global Wind Resource Observed by Scatterometer

open access: yesRemote Sensing, 2020
A 27-year-long calibrated multi-mission scatterometer data set is used to determine the global basin-scale and near-coastal wind resource. In addition to mean and percentile values, the analysis also determines the global values of both 50- and 100-year ...
Ian R. Young   +2 more
doaj   +1 more source

Machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data

open access: yesRemote Sensing, 2022
Long-term satellite observations have the ability to provide early warnings of harmful algal blooms (HABs). However, detecting HABs in optically complex coastal waters is somewhat challenging. In this article, we propose a two-step scheme, combining long
Weiwen Ye, Feng Zhang, Zhenhong Du
doaj   +1 more source

Comparison of Future Changes in Frequency of Climate Extremes between Coastal and Inland Locations of Bengal Delta Based on CMIP6 Climate Models

open access: yesAtmosphere, 2022
Climate change is perceived to be the primary reason for the amplification of extreme climatic phenomena. Estimation of changes in extreme values under climate change thus plays an important role in disaster risk assessment and management.
Samiran Das   +4 more
doaj   +1 more source

Analysis and Modeling of Air Pollution in Extreme Meteorological Conditions: A Case Study of Jeddah, the Kingdom of Saudi Arabia

open access: yesToxics, 2022
Air pollution has serious environmental and human health-related consequences; however, little work seems to be undertaken to address the harms in Middle Eastern countries, including Saudi Arabia.
Mohammad Rehan, Said Munir
doaj   +1 more source

Applying Quantum Mechanics for Extreme Value Prediction of VaR and ES in the ASEAN Stock Exchange

open access: yesEconomies, 2021
The advantage of quantum mechanics to shift up the ability to econometrically understand extreme tail losses in financial data has become more desirable, especially in cases of Value at Risk (VaR) and Expected Shortfall (ES) predictions.
Chukiat Chaiboonsri, Satawat Wannapan
doaj   +1 more source

Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice [PDF]

open access: yesRoyal Society Open Science, 2020
Wheat farming provides 28.5% of global cereal production. After steady growth in average crop yield from 1950 to 1990, wheat yields have generally stagnated, which prompts the question of whether further improvements are possible.
Emily G. Mitchell   +4 more
doaj   +1 more source

Comparison of Extreme Wind and Waves Using Different Statistical Methods in 40 Offshore Wind Energy Lease Areas Worldwide

open access: yesEnergies, 2023
With the ongoing global drive towards renewable energy, several potential offshore wind energy lease areas worldwide have come into focus. This study aims to estimate the extreme wind and wave conditions across several newly designated offshore wind ...
Saravanan Bhaskaran   +5 more
doaj   +1 more source

The Topp-Leone generalized extreme value distribution: Extreme value analysis and return level estimation of the PM2.5 in Chiang Mai, Thailand [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2022
In this paper, an extension of the generalized extreme value (GEV) distribution called the Topp Leone-GEV (TL-GEV) distribution is applied. The TL-GEV distribution has four parameters (λ, μ, σ, ξ), and it has the three named sub-models TLGumbel (for ξ =
Sirinapa Aryuyuen, Winai Bodhisuwan
doaj   +1 more source

The value does not exist! A motivation for extremal analysis

open access: yesProbability, Uncertainty and Quantitative Risk, 2022
<p style='text-indent:20px;'>Standard mathematical economics studies the production, exchange, and consumption of goods “<i>provided with units of measurement</i>,” as in physics, in order to be enumerated, quantified, added, etc. Therefore, “baskets of goods,” which should describe subsets of goods, are mathematically represented as ...
Aubin, Jean-Pierre, Frankowska, Hélène
openaire   +3 more sources

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