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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 procedure. In each step, a variable is considered for addition to or subtraction from the set of explanatory variables based on some prespecified criterion. Usually, this takes the form of a forward, backward, or combined sequence of F-tests or t-tests.

Attributes	Values
rdfs:label	Stepwise regression (en) Regressão por stepwise (pt)
rdfs:comment	In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic procedure. In each step, a variable is considered for addition to or subtraction from the set of explanatory variables based on some prespecified criterion. Usually, this takes the form of a forward, backward, or combined sequence of F-tests or t-tests. (en) Na estatística, a regressão por stepwise é um técnica de ajuste de modelos de regressão em que a escolha das variáveis preditivas é realizada por um procedimento automático. Em cada etapa, uma variável é considerada para adição ou subtração do conjunto de variáveis explicativas com base em algum critério pré-especificado. Normalmente, se assume a forma de uma sequência de testes ou t, mas outras técnicas são possíveis, como R 2 ajustado, critério de informação de Akaike, critério de informação Bayesiano, Mallows, PRESS ou taxa de descoberta falsa. (pt)
foaf:depiction
dcterms:subject	Regression variable selection
Wikipage page ID	4877759 (xsd:integer)
Wikipage revision ID	1080244859 (xsd:integer)
Link from a Wikipage to another Wikipage	Bayesian information criterion Ensemble learning Regression validation Degrees of freedom (statistics) Design of experiments Box–Behnken design Model selection Cross-validation (statistics) Regression model Approximation Statistics Computer simulation Statistical survey Training set Data Data dredging Data mining Lasso (statistics) Least-angle regression Logistic regression Akaike information criterion Regression variable selection Experiment F-test Parameter False discovery rate PRESS statistic Regression analysis Residual sum of squares Risk function Efficiency (statistics) Freedman's paradox Explanatory variable Mallows's Cp Mean absolute percentage error Variable (mathematics) Occam's razor Overfitting Validation set Bonferroni Sample size Adjusted R-squared Model (abstract) T-test dbr:Risk_inflation
sameAs	Stepwise regression Stepwise regression Stepwise regression Stepwise regression
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thumbnail	wiki-commons:Special:FilePath/Stepwise.jpg?width=300
has abstract	In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic procedure. In each step, a variable is considered for addition to or subtraction from the set of explanatory variables based on some prespecified criterion. Usually, this takes the form of a forward, backward, or combined sequence of F-tests or t-tests. The frequent practice of fitting the final selected model followed by reporting estimates and confidence intervals without adjusting them to take the model building process into account has led to calls to stop using stepwise model building altogether or to at least make sure model uncertainty is correctly reflected.Alternatives include other model selection techniques, such as adjusted R2, Akaike information criterion, Bayesian information criterion, Mallows's Cp, PRESS, or false discovery rate. (en) Na estatística, a regressão por stepwise é um técnica de ajuste de modelos de regressão em que a escolha das variáveis preditivas é realizada por um procedimento automático. Em cada etapa, uma variável é considerada para adição ou subtração do conjunto de variáveis explicativas com base em algum critério pré-especificado. Normalmente, se assume a forma de uma sequência de testes ou t, mas outras técnicas são possíveis, como R 2 ajustado, critério de informação de Akaike, critério de informação Bayesiano, Mallows, PRESS ou taxa de descoberta falsa. Na prática frequente de ajuste do modelo final selecionado seguido de relatórios de estimativas e intervalos de confiança sem ajustá-los para levar em conta o processo de construção de modelo levou a pedidos para parar de usar a construção de modelo passo a passo ou pelo menos ter certeza de a incerteza do modelo é refletida corretamente. (pt)
prov:wasDerivedFrom	wikipedia-en:Stepwise_regression?oldid=1080244859&ns=0
page length (characters) of wiki page	11877 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Stepwise_regression
is rdfs:seeAlso of	Multivariate adaptive regression spline
is Link from a Wikipage to another Wikipage of	Electricity price forecasting Ensemble learning One in ten rule Sample size determination Generalized additive model Nested association mapping Segmented regression Variable rules analysis Coefficient of determination Model selection Comparison of statistical packages Feature selection Stepwise Matching pursuit Data dredging Lasso (statistics) Least-angle regression Linear discriminant analysis Linear regression Breakthrough curve Regression Regression analysis Inclusive composite interval mapping Omnibus test Mallows's Cp Mean squared error Unsupervised Forward Selection List of statistics articles Unistat Outline of machine learning Backward elimination

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