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Meta-analysis is the statistical combination of the results of multiple studies addressing a similar research question. An important part of this method involves computing an effect size across all of the studies; this involves extracting effect sizes and variance measures from various studies.
Model output statistics. In weather forecasting, model output statistics ( MOS) is a multiple linear regression technique in which predictands, often near-surface quantities (such as two-meter-above-ground-level air temperature, horizontal visibility, and wind direction, speed and gusts ), are related statistically to one or more predictors.
The Journal of Guidance, Control, and Dynamics is a monthly peer-reviewed scientific journal published by the American Institute of Aeronautics and Astronautics. It covers the science and technology of guidance, control, and dynamics of flight. The editor-in-chief is Ping Lu ( San Diego State University ). It was established in 1978 as Journal ...
Meta-regression. Meta-regression is defined to be a meta-analysis that uses regression analysis to combine, compare, and synthesize research findings from multiple studies while adjusting for the effects of available covariates on a response variable. A meta-regression analysis aims to reconcile conflicting studies or corroborate consistent ...
Math. Models Methods Appl. Sci. Mathematical Models and Methods in Applied Sciences is a journal founded in 1991 and published by World Scientific. It covers: mathematical modelling of systems in the applied sciences (physics, mathematical physics, natural, and technological sciences); qualitative and quantitative analysis of mathematical ...
Multiple-criteria decision-making ( MCDM) or multiple-criteria decision analysis ( MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine). It is also known as multiple attribute utility theory ...
Choice modelling. Choice modelling attempts to model the decision process of an individual or segment via revealed preferences or stated preferences made in a particular context or contexts. Typically, it attempts to use discrete choices (A over B; B over A, B & C) in order to infer positions of the items (A, B and C) on some relevant latent ...
As such, the idea of numerical weather prediction is to sample the state of the fluid at a given time and use the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future. The process of entering observation data into the model to generate initial conditions is called initialization.