Results 31 to 40 of about 376,499 (267)
Bias‐Corrected Estimates of GED Returns [PDF]
Journal of Labor Economics, 2006 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
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Journal of Water and Climate Change, 2023 The study evaluates the performance of bias correction techniques by dividing the observed climate data period into calibration and validation sets. For this purpose, the daily data of temperature, rainfall, and solar radiation from 2010–2095 for lower ...
Kuldeep Kaur, Navneet Kaur
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A bias correction scheme for FY-3E/HIRAS-II observation data assimilation [PDF]
Atmospheric Measurement TechniquesMeteorological satellite data have been extensively utilized in global numerical weather prediction systems and have a positive impact to improve forecast accuracy.
H. Chen, L. Guan
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Climate model bias correction and the role of timescales [PDF]
Hydrology and Earth System Sciences, 2011 It is well known that output from climate models cannot be used to force hydrological simulations without some form of preprocessing to remove the existing biases.
J. O. Haerter +3 more
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Hydrology, 2021 We present the development and testing of a web application called the historical validation tool (HVT) that processes and visualizes observed and simulated historical stream discharge data from the global GEOGloWS ECMWF streamflow services (GESS ...
Jorge Sanchez Lozano +6 more
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Adjusting Group Intercept and Slope Bias in Predictive Equations
Methodology, 2020 Methods to assess measurement invariance in constructs have received much attention, as invariance is critical for accurate group comparisons. Less attention has been given to the identification and correction of the sources of non-invariance in ...
Bruce W. Austin, Brian F. French
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Journal of Water and Climate Change, 2023 Bias correction methods are used to compensate for any tendency to overestimate or underestimate the downscaled variables. Rainfall, maximum, and minimum temperatures are the key climate variables where the socioeconomic activities of the regions are ...
Habtamu Daniel
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Aceh International Journal of Science and Technology, 2019 Many scientists assume that RCM output is directly used as input for climate change impact models, while it consists of systematic errors. Consequently, RCM still requires bias correction to be used as an input model.
Unggul Handoko +6 more
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Analysis of compositions of microbiomes with bias correction [PDF]
Nature Communications, 2020 AbstractDifferential abundance (DA) analysis of microbiome data continues to be a challenging problem due to the complexity of the data. In this article we define the notion of “sampling fraction” and demonstrate a major hurdle in performing DA analysis of microbiome data is the bias introduced by differences in the sampling fractions across samples ...
Huang Lin, Shyamal Das Peddada
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Bias-correction schemes for calibrated flow in a conceptual hydrological model
Hydrology Research, 2021 We explore post-processing methods that can reduce biases in simulated flow in a hydrological model (HYMOD). Here, three bias-correction methods are compared using a set of calibrated parameters as a baseline (Cases 1 and 5). The proposed bias-correction
Kue Bum Kim, Hyun-Han Kwon, Dawei Han
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