Bias and over-adjustment
CHASE-PL Climate Projection dataset over Poland – bias adjustment of EURO-CORDEX simulations
... 2.1 Polish high-resolution observational climate dataset The gridded daily precipitation and temperature dataset (CPLFD-GDPT5) is used here as reference or pseudo- observational data in the bias adjustment ...
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Econometric Risk Adjustment, Endogeneity, and Extrapolation Bias
... prediction bias is the difference between the distribution of explanatory variables in the estimation sample and the prediction sample -- a form of "extrapolation ...produce bias when endogenous ...
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Does Indexation Bias the Estimated Frequency of Price Adjustment?
... the bias is larger than the standard deviation of the distribution, which we intepret as the bias being economically ...the bias is important it is always positive, implying that the estimated ...
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The effect of univariate bias adjustment on multivariate hazard estimates
... Abstract. Bias adjustment is often a necessity in estimating climate impacts because impact models usually rely on unbiased climate information, a requirement that climate model outputs rarely ...
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The effect of univariate bias adjustment on multivariate hazard estimates
... of bias adjustment is unavoidable in model climate ...impacts, bias adjustment preferably takes into account the known limitations of the relevant climate model as well as characteristics of ...
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On iterative adjustment of responses for the reduction of bias in binary regression models
... The adjustment of the binomial data by small constants is a common practice in statistical modelling, for avoiding sparseness issues and, historically, for improving the asymptotic proper- ties of the ...constant ...
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Information bias in health research: definition, pitfalls, and adjustment methods
... of bias. While understanding sources of bias is a key element for drawing valid conclusions, bias in health research continues to be a very sensitive issue that can affect the focus and outcome of ...
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Adjustment for reporting bias in network meta-analysis of antidepressant trials
... Both adjustment models rely on the assumption that biases are exchange- able across the network, ie, biases, if present, operate in a similar way in trials across the ...these adjustment models to datasets ...
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Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)
... to bias- adjust the frequencies of occurrence of values close to the ...to bias-adjust the dry-day frequency, ...its bias adjustment is easily done by setting pr values on some initially wet ...
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Bias adjustment of satellite precipitation estimation using ground-based measurement: A case study evaluation over the southwestern United States
... the bias, the hourly CCS estimates were spatially and temporally accumulated to the daily 18 3 18 scale, the resolution of CPC rain gauge ...CCS bias was then downscaled to the hourly temporal scale to ...
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NICE DSU TECHNICAL SUPPORT DOCUMENT 3: HETEROGENEITY: SUBGROUPS, META-REGRESSION, BIAS AND BIAS-ADJUSTMENT
... OF BIAS DISTRIBUTIONS FROM EXPERTS , OR BASED ON DATA This method 59 is conceptually the simplest of all bias adjustment methods, applicable to trials and observational studies ...non-response ...
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Multivariate bias adjustment of high dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R2D2) bias correction
... – bias correction (BC) methods focused on the adjustment of the mean ...scaling adjustment, Berg et al., 2012) or more generally on the adjustment of the distribution ...1997). Bias ...
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Improving the CPI’s Age-Bias Adjustment: Leverage, Disaggregation and Model Averaging
... Age-bias adjustment inherently suffers from a general problem facing some types of hedonic-based adjustments, which is related to model ...age-bias adjustment relies upon specific coefficient ...
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Bias Reduction by Recursive Mean Adjustment in Dynamic Panel Data Models
... of adjustment of price or …nancial ...of adjustment towards purchasing power parity [Frankel and Rose (1996), Papell (2004), Murray and Papell (2002) ] whereas in …nance research has emphasized the ad- ...
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Outcome reporting bias in trials: a methodological approach for assessment and adjustment in systematic reviews
... reporting bias is a threat to the validity of the evidence base and contributes to research ...and adjustment of outcome reporting bias in the years to ...reporting bias and methods for ...
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Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour
... RMSE, bias and standard deviation are consistently close to zero and insignificant in all ...increase bias, giving rise to a potential ...the bias is not significantly affected by the radius size in ...
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Bias adjustment of satellite-based precipitation estimation using gauge observations: A case study in Chile
... data over Chile, using gauge observations as reference. A novel bias adjustment framework, termed QM-GW, is proposed based on the nonparametric quantile mapping approach and a Gaussian weighting ...
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Bias adjustment and ensemble recalibration methods for seasonal forecasting: a comprehensive intercomparison using the C3S dataset
... This work presents a comprehensive intercomparison of different alternatives for the calibration of seasonal forecasts, ranging from simple bias adjustment (BA)—e.g. quantile mapping—to more sophisticated ...
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Sampling bias adjustment for sparsely sampled satellite measurements applied to ACE-FTS carbonyl sulfide observations
... the adjustment method. The adjustment should not be applied to individual data points for any other ...sampling bias is a systematic error type that only arises when deriving spatiotemporal averages ...
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Stimulus range bias leads to different settings when using luminance adjustment to evaluate discomfort due to glare
... Luminance adjustment is widely used to evaluate discomfort due to ...luminance adjustment procedure, stimulus range bias and direct vs indirect ...range bias describes the inluence on ...
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