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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 ...
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.
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 ...
Cognitive behavioral therapy, or CBT, is a type of psychotherapy. It aims to help you notice negative thoughts and feelings, and then reshape them in a more positive way. It also teaches you how ...
Psychodynamic. Behavioral and subtypes. CBT and subtypes. Humanistic therapy and subtypes. Choosing. If you’re thinking of trying therapy, you might’ve already noticed the surprising amount of ...
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.
Response surface methodology. In statistics, response surface methodology ( RSM) explores the relationships between several explanatory variables and one or more response variables. RSM is an empirical model which employs the use of mathematical and statistical techniques to relate input variables, otherwise known as factors, to the response.
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 ...