Search results for "[ STAT ] Statistics [stat]"

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Performance of DEMETER calibration for rainfall forecasting purposes: Application to the July–August Sahelian rainfall

2008

International audience; This work assesses and compares the skill of direct and model-output-statistics (MOS) calibrated hindcasts of the July–August rainfall amounts for the dry period 1980–2000 over the Sahel issued from the Development of a European Multimodel Ensemble System for Seasonal to Interannual Prediction (DEMETER) experiment, with the aim to highlight among the simulated parameters, i.e., those potentially relevant for rainfall forecasts purposes. Three approaches were used: the DEMETER (1) direct rainfall, (2) MOS-calibrated rainfall, and (3) MOS-calibrated atmospheric dynamics and energy. Canonical correlation analyses (CCA) were employed in the two latter approaches to calib…

Atmospheric ScienceSoil ScienceForecast skillAquatic ScienceOceanographyMonsoonMediterranean seaGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Moist static energyHindcastEarth-Surface ProcessesWater Science and Technologycanonical correlation analysisEcologyMode (statistics)PaleontologyForestryAfrican easterly jet[ SDE.MCG ] Environmental Sciences/Global ChangesGeophysicsmodel output statistics approachSpace and Planetary ScienceClimatologyEnvironmental science[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatologyseasonal rainfall forecasts in West Africacanonical correlation analysis.Teleconnection
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Comments on “Unobservable Selection and Coefficient Stability

2019

Abstract–: We establish a link between the approaches proposed by Oster (2019) and Pei, Pischke, and Schwandt (2019) which contribute to the development of inferential procedures for causal effects in the challenging and empirically relevant situation where the unknown data-generation process is not included in the set of models considered by the investigator. We use the general misspecification framework recently proposed by De Luca, Magnus, and Peracchi (2018) to analyze and understand the implications of the restrictions imposed by the two approaches.

Statistics and ProbabilityEconomics and EconometricEconomics and EconometricsTestingSettore SECS-P/05 - EconometriaOLSInconsistency01 natural sciencesUnobservable010104 statistics & probabilityBiaStability theory0502 economics and businessInconsistent Statistics and ProbabilityEconometrics0101 mathematicsSelection (genetic algorithm)050205 econometrics 05 social sciencesCausal effectConfoundingMean squared error (MSE)MisspecificationStatistics Probability and UncertaintyPsychologySocial Sciences (miscellaneous)Journal of Business and Economic Statistics
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