Accounting for Aggregation Bias in Almost Ideal Demand Systems
This study revisits the consistent aggregation (over households) property of almost ideal demand system (AIDS) models and presents a method to explicitly account for expenditure aggregation bias when estimating the aggregate AIDS model with time-series ...
Ronald C. Mittelhammer +2 more
doaj +1 more source
Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data
This study evaluated three bias correction methods of systematic biases in column-averaged dry-air mole fraction of water vapor (XH2O) data retrieved from Greenhouse Gases Observing Satellite (GOSAT) Short-Wavelength Infrared (SWIR) observations compared
Tran Thi Ngoc Trieu +14 more
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Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data [PDF]
Dynamically downscaled precipitation fields from regional climate models (RCMs) often cannot be used directly for regional climate studies. Due to their inherent biases, i.e., systematic over- or underestimations compared to observations, several ...
G. Mao +4 more
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Assessing the effect of sample bias correction in species distribution models
1. Open-source biodiversity databases contain a large number of species occurrence records but are often spatially biased; which affects the reliability of species distribution models based on these records. Sample bias correction techniques require data
Nicolas Dubos +10 more
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N4ITK: Improved N3 Bias Correction [PDF]
A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is proposed for bias field correction. Given the superb performance of N3 and its public availability, it has been the subject of several evaluation studies. These studies have demonstrated the importance of certain parameters associated with the B-spline least ...
Nicholas J. Tustison +6 more
openaire +2 more sources
Application of GCM Bias Correction to RCM Simulations of East Asian Winter Climate
Both the global circulation model (GCM) and regional climate model (RCM) simulations suffer from model biases that eventually result in significant errors in regional forecasts. This model bias issue is addressed using the bias correction approach.
Chang-Mook Lim +2 more
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Multivariate stochastic bias corrections with optimal transport [PDF]
Bias correction methods are used to calibrate climate model outputs with respect to observational records. The goal is to ensure that statistical features (such as means and variances) of climate simulations are coherent with observations.
Y. Robin, M. Vrac, P. Naveau, P. Yiou
doaj +1 more source
Bias‐Corrected Estimates of GED Returns [PDF]
Using three sources of data, this article examines the direct economic return to General Educational Development (GED) certification for both native and immigrant high school dropouts. One data source—the Current Population Survey (CPS)—is plagued by nonresponse and allocation bias from the hot deck procedure that biases the estimated return to the GED
James J. Heckman, Paul LaFontaine
openaire +1 more source
Trends in projections of standardized precipitation indices in a future climate in Poland [PDF]
Possible future climate change effects on dryness conditions in Poland are estimated for six climate projections using the standardized precipitation index (SPI).
M. Osuch +3 more
doaj +1 more source
Discharge simulations performed with a hydrological model using bias corrected regional climate model input [PDF]
Studies have demonstrated that precipitation on Northern Hemisphere mid-latitudes has increased in the last decades and that it is likely that this trend will continue. This will have an influence on discharge of the river Meuse.
S. C. van Pelt +4 more
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