Definition, Betydelse & Synonymer | Engelska ordet REGRESSION

Definition av REGRESSION

1. regression; tillbakagång
2. (programmering) försämring eller en ny bugg i en ny version jämfört med tidigare versioner

Exempel på hur du använder REGRESSION i en mening

• The most common occurrence is in connection with regression models and the term is often taken as synonymous with linear regression model.
• Regression testing (rarely, non-regression testing) is re-running functional and non-functional tests to ensure that previously developed and tested software still performs as expected after a change.
• Supporters attempt to explain cultural history from a psycho-developmental point of view, and argue that cultural change can be assessed as "advancement" or "regression" based on the psychological consequences of various cultural practices.
• Surveyors work with elements of geodesy, geometry, trigonometry, regression analysis, physics, engineering, metrology, programming languages, and the law.
• Gigerenzer & Gaissmaier (2011) state that sub-sets of strategy include heuristics, regression analysis, and Bayesian inference.
• In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis.
• A land bridge can be created by marine regression, in which sea levels fall, exposing shallow, previously submerged sections of continental shelf; or when new land is created by plate tectonics; or occasionally when the sea floor rises due to post-glacial rebound after an ice age.
• The method of least squares is a parameter estimation method in regression analysis based on minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each individual equation.
• The Student's  distribution plays a role in a number of widely used statistical analyses, including Student's  test for assessing the statistical significance of the difference between two sample means, the construction of confidence intervals for the difference between two population means, and in linear regression analysis.
• It is also a component of the definition of the t-distribution and the F-distribution used in t-tests, analysis of variance, and regression analysis.
• Other examples are regression, which assigns a real-valued output to each input; sequence labeling, which assigns a class to each member of a sequence of values (for example, part of speech tagging, which assigns a part of speech to each word in an input sentence); and parsing, which assigns a parse tree to an input sentence, describing the syntactic structure of the sentence.
• The term "dummy variable" is also sometimes used for a bound variable (more commonly in general mathematics than in computer science), but this should not be confused with the identically named but unrelated concept of dummy variable as used in statistics, most commonly in regression analysis.
• Logistic regression, a regression technique that transforms the dependent variable using the logistic function.
• In statistics, the Gauss–Markov theorem (or simply Gauss theorem for some authors) states that the ordinary least squares (OLS) estimator has the lowest sampling variance within the class of linear unbiased estimators, if the errors in the linear regression model are uncorrelated, have equal variances and expectation value of zero.
• In statistics, regression toward the mean (also called regression to the mean, reversion to the mean, and reversion to mediocrity) is the phenomenon where if one sample of a random variable is extreme, the next sampling of the same random variable is likely to be closer to its mean.
• These non-exhaustive methods include hypnosis, sedative guided interviews, journal writing for the purpose of recovering memories (often in the form of automatic writing), age regression and interpretation of "body memories" especially where the therapist believes repressed memories of traumatic events are the cause of their client's problems.
• In regression analysis, logistic regression (or logit regression) estimates the parameters of a logistic model (the coefficients in the linear or non linear combinations).
• Among its applications, it afforded insight into regression to the mean or "reversion to mediocrity".
• Statistical techniques used for prediction include regression and its various sub-categories such as linear regression, generalized linear models (logistic regression, Poisson regression, Probit regression), etc.
• The only insight into Snyder's past was his Band Candy-induced regression to adolescence, where he is a socially inept geek without an obvious understanding of the supernatural.

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