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Regress information


Regress may refer to:

  • Regress argument, a problem in epistemology concerning the justification of propositions
  • Infinite regress, a problem in epistemology

and 22 Related for: Regress information

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Regress

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Look up regress in Wiktionary, the free dictionary. Regress may refer to: Regress argument, a problem in epistemology concerning the justification of...

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Infinite regress

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An infinite regress is an infinite series of entities governed by a recursive principle that determines how each entity in the series depends on or is...

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Regression

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Look up regression, regressions, or régression in Wiktionary, the free dictionary. Regression or regressions may refer to: Marine regression, coastal advance...

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Turtles all the way down

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"Turtles all the way down" is an expression of the problem of infinite regress. The saying alludes to the mythological idea of a World Turtle that supports...

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Linear regression

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In statistics, linear regression is a statistical model which estimates the linear relationship between a scalar response and one or more explanatory variables...

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Regression analysis

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In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called...

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Poisson regression

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Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes...

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Preference regression

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Preference regression is a statistical technique used by marketers to determine consumers’ preferred core benefits. It usually supplements product positioning...

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Polynomial regression

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In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable...

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Logistic regression

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combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic...

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Regression toward the mean

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In statistics, regression toward the mean (also called reversion to the mean, and reversion to mediocrity) is the phenomenon where if one sample of a random...

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Local regression

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Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its...

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Binomial regression

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In statistics, binomial regression is a regression analysis technique in which the response (often referred to as Y) has a binomial distribution: it is...

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Ordinal regression

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In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, i.e....

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Cosmological argument

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infinite regress argument is an argument against a theory based on the fact that this theory leads to an infinite regress. A positive infinite regress argument...

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Software regression

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A software regression is a type of software bug where a feature that has worked before stops working. This may happen after changes are applied to the...

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Robust regression

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In robust statistics, robust regression seeks to overcome some limitations of traditional regression analysis. A regression analysis models the relationship...

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Stepwise regression

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In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic...

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Regression testing

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Regression testing (rarely, non-regression testing) is re-running functional and non-functional tests to ensure that previously developed and tested software...

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Marine regression

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A marine regression is a geological process occurring when areas of submerged seafloor are exposed during a drop in sea level. The opposite event, marine...

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Quantile regression

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Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares estimates the conditional...

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Ridge regression

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Ridge regression is a method of estimating the coefficients of multiple-regression models in scenarios where the independent variables are highly correlated...

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