regression model
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Regression 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… … Wikipedia
Censored regression model — Censored regression models commonly arise in econometrics in cases where the variable ofinterest is only observable under certain conditions. A common example is labor supply. Data is frequently available on the hours worked by employees, and a… … Wikipedia
Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is … Wikipedia
Regression dilution — is a statistical phenomenon also known as attenuation . Consider fitting a straight line for the relationship of an outcome variable y to a predictor variable x, and estimating the gradient (slope) of the line. Statistical variability,… … Wikipedia
Truncated regression model — Truncated regression models arise in econometrics in cases where observations with values in the outcome variable below or above certain thresholds systematically excluded from the sample. Therefore, whole observations are missing, so that… … Wikipedia
Model checking (disambiguation) — Model checking may refer to model checking regression model validation This disambiguation page lists articles associated with the same title. If an internal link led you here, you may wish to chan … Wikipedia
Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… … Wikipedia
Regression toward the mean — In statistics, regression toward the mean (also known as regression to the mean) is the phenomenon that if a variable is extreme on its first measurement, it will tend to be closer to the average on a second measurement, and a fact that may… … Wikipedia
Regression discontinuity design — In statistics, econometrics, epidemiology and related disciplines, a regression discontinuity design (RDD) is a design that elicits the causal effects of interventions by exploiting a given exogenous threshold determining assignment to treatment … Wikipedia
Régression de Cox — La régression de Cox (modèle à risque proportionnel) nommée ainsi d après le statisticien britannique David Cox est une classe de modèles de survie en statistiques. Les modèles de survie étudient le temps écoulé avant qu un événement… … Wikipédia en Français
Model checking — This article is about checking of models in computer science. For the checking of models in statistics, see regression model validation. In computer science, model checking refers to the following problem: Given a model of a system, test… … Wikipedia
