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
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
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
Bias-corrected and spatially disaggregated seasonal forecasts: a long-term reference forecast product for the water sector in semi-arid regions
Sign Up to like & getrecommendations! Published in 2021 at "Earth System Science Data"
DOI: 10.5194/essd-13-2701-2021
Abstract: Abstract. Seasonal forecasts have the potential to substantially improve water management particularly in water-scarce regions. However, global seasonal forecasts are usually not directly applicable as they are provided at coarse spatial resolutions of at best… read more here.
Keywords: bias corrected; water; spatially disaggregated; semi arid ... See more keywords