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Statements

Subject Item: dbr:Electricity_price_forecasting
dbo:wikiPageWikiLink: dbr:Stepwise_regression

Subject Item: dbr:Ensemble_learning
dbo:wikiPageWikiLink: dbr:Stepwise_regression

Subject Item: dbr:One_in_ten_rule
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Subject Item: dbr:Sample_size_determination
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Subject Item: dbr:Generalized_additive_model
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dbo:wikiPageWikiLink: dbr:Stepwise_regression

Subject Item: dbr:Segmented_regression
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Subject Item: dbr:Variable_rules_analysis
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Subject Item: dbr:Coefficient_of_determination
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Subject Item: dbr:Stepwise
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Subject Item: dbr:Linear_regression
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Subject Item: dbr:Stepwise_regression
rdfs:label: Stepwise regression Regressão por stepwise
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. 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.
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dbo:abstract: 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. 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.
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Subject Item: dbr:Forward_selection
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Subject Item: dbr:Stepwise_Regression
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Subject Item: wikipedia-en:Stepwise_regression
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