errors-in-variables model
1Errors-in-variables model — In statistics, an error in variables model is a statistical model which is similar to a regression model but where the independent variables (or explanatory variables) are observed with error. A full statistical model includes components… …
2Errors-in-variables models — In statistics and econometrics, errors in variables models or measurement errors models are regression models that account for measurement errors in the independent variables. In contrast, standard regression models assume that those regressors… …
3Model predictive control — Model Predictive Control, or MPC, is an advanced method of process control that has been in use in the process industries such as chemical plants and oil refineries since the 1980s. Model predictive controllers rely on dynamic models of the… …
4Model-based design — (MBD) is a mathematical and visual method of addressing problems associated with designing complex control,[1][2] signal processing[3] and communication systems. It is used in many motion control, industrial equipment, aerospace, and automotive… …
5Model (macroeconomics) — A model in macroeconomics is a logical, mathematical, and/or computational framework designed to describe the operation of a national or regional economy, and especially the dynamics of aggregate quantities such as the total amount of goods and… …
6Model based design — The dawn of the electrical age brought with it various novel, innovative and advanced control systems. It was as early as 1920 s when the two strands of technology, control theory and control system, came together to produce large scale… …
7Statistical model validation — Model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked. Often the validation of a model seems to consist of nothing more than quoting the R 2 statistic from the fit (which… …
8Global climate model — AGCM redirects here. For Italian competition regulator, see Autorità Garante della Concorrenza e del Mercato. Climate models are systems of differential equations based on the basic laws of physics, fluid motion, and chemistry. To “run” a model,… …
9Economic model — A diagram of the IS/LM model In economics, a model is a theoretical construct that represents economic processes by a set of variables and a set of logical and/or quantitative relationships between them. The economic model is a simplified… …
10Regression model validation — In statistics, model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked.[citation needed] Often the validation of a model seems to consist of nothing more than quoting the R2… …
