Heavy precipitation forecasts over Switzerland – An evaluation of bias-corrected ECMWF predictions
Sign Up to like & getrecommendations! Published in 2021 at "Weather and climate extremes"
DOI: 10.1016/j.wace.2021.100372
Abstract: Abstract Heavy precipitation episodes are particularly hazardous in mid-sized alpine catchments where runoff tends to increase rapidly after strong rainfall, leaving limited time for warning. A high-quality, unbiased forecast of heavy precipitation with long enough… read more here.
Keywords: bias corrected; lead times; precipitation forecasts; precipitation ... See more keywords
How Extreme Events in China Would Be Affected by Global Warming—Insights From a Bias‐Corrected CMIP6 Ensemble
Sign Up to like & getrecommendations! Published in 2023 at "Earth's Future"
DOI: 10.1029/2022ef003347
Abstract: In recent years, concurrent climate extreme conditions (i.e., hot‐dry, cold‐dry, hot‐wet, and cold‐wet) have led to various unprecedented natural disasters (e.g., floods, landslide, wildfire, droughts, etc.), causing significant damages to human societies and ecosystems. This… read more here.
Keywords: corrected cmip6; extreme events; bias corrected; global warming ... See more keywords
A global high-resolution and bias-corrected dataset of CMIP6 projected heat stress metrics
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Data"
DOI: 10.1038/s41597-025-04527-6
Abstract: Increasing heat stress with climate change will threaten human health and cause broad social and economic impacts. The evaluation of such impacts depends on a reliable dataset of heat stress projection. Here we present a… read more here.
Keywords: heat stress; bias corrected; heat; dataset ... See more keywords
Development of daily downscaled, bias-corrected CMIP6 climate datasets for estimating reference evapotranspiration (ETo) in South Asia
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Data"
DOI: 10.1038/s41597-025-06149-4
Abstract: Potential evapotranspiration plays a crucial role in hydrological analysis. Therefore, reliable projection of potential evapotranspiration and/or reference evapotranspiration (ETo) at the local scale under various climate change scenario is essential. To achieve this, climate datasets… read more here.
Keywords: south asia; climate; bias corrected; eto ... See more keywords
Bias-corrected maximum likelihood estimation of the parameters of the generalized half-normal distribution
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2017.1413649
Abstract: ABSTRACT Cooray and Ananda introduced a two-parameter generalized Half-Normal distribution which is useful for modelling lifetime data, while its maximum likelihood estimators (MLEs) are biased in finite samples. This motivates us to construct nearly unbiased… read more here.
Keywords: bias corrected; generalized half; half normal; normal distribution ... See more keywords
Estimation of the generalized process capability index C pyk based on bias-corrected maximum-likelihood estimators for the generalized inverse Lindley distribution and bootstrap confidence intervals
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2021.1879081
Abstract: In this paper, we are interested in estimating the generalized process capability index ( ) proposed by Maiti et al. [On generalizing process capability indices. Qual Technol Quant Manag. 2010;7(3):279–300], when the underlying distribution is… read more here.
Keywords: maximum likelihood; bias corrected; process capability; bootstrap ... See more keywords
Optimizing Oral Vaccine Distribution Strategies for Wild Boars Through Bias-Corrected Habitat Modeling: A Case Study of Classical Swine Fever Control in Japan
Sign Up to like & getrecommendations! Published in 2025 at "Transboundary and Emerging Diseases"
DOI: 10.1155/tbed/1576080
Abstract: Control of infectious diseases in wildlife is often considered challenging due to the limited availability of information. Some infectious diseases in wildlife can also affect livestock, posing significant problems for the animal farming industry. In… read more here.
Keywords: distribution; wild boars; control; classical swine ... See more keywords
Approximating the Internal Variability of Bias-Corrected Global Temperature Projections with Spatial Stochastic Generators
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Climate"
DOI: 10.1175/jcli-d-21-0083.1
Abstract: Decision making under climate change, from vulnerability assessments to adaptation and mitigation, requires an accurate quantification of the uncertainty in the future climate. Physically constrained projections, in the presence of both observations and climate simulations,… read more here.
Keywords: bias corrected; approximating internal; internal variability; bias ... See more keywords
The Optimal Multimodel Ensemble of Bias-Corrected CMIP5 Climate Models over China
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Hydrometeorology"
DOI: 10.1175/jhm-d-19-0141.1
Abstract: AbstractA multimodel ensemble of general circulation models (GCM) is a popular approach to assess hydrological impacts of climate change at local, regional, and global scales. The traditional multi... read more here.
Keywords: multimodel; multimodel ensemble; corrected cmip5; ensemble bias ... See more keywords
Bias-corrected estimates for logistic regression models for complex surveys with application to the United States’ Nationwide Inpatient Sample
Sign Up to like & getrecommendations! Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280215596550
Abstract: For complex surveys with a binary outcome, logistic regression is widely used to model the outcome as a function of covariates. Complex survey sampling designs are typically stratified cluster samples, but consistent and asymptotically unbiased… read more here.
Keywords: logistic regression; regression; complex surveys; bias corrected ... See more keywords
A Bias-Corrected Estimator of Competitive Balance in Sports Leagues
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Sports Economics"
DOI: 10.1177/1527002518777974
Abstract: The ratio of the actual standard deviation (ASD) to the idealized standard deviation of win percentages (RSD) is the conventional measure of competitive balance (CB). RSD is designed to control for the effect of season… read more here.
Keywords: deviation; corrected estimator; bias corrected; competitive balance ... See more keywords