Stepwise regression
A Matlab program for stepwise regression
... The stepwise linear regression is a multi-variable regression for identifying statistically significant variables in the linear regression equation (Zhang and Fang, ...
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Characterization of vegetative and grain filling periods of winter wheat by stepwise regression procedure. II. Grain filling period
... The stepwise regression procedure showed that grain filling is a complex biological process and that it is difficult to offer a simple and accurate polynomial equation that fits the data of dry matter ...
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Soil bacterial communities respond to climate changes in a temperate steppe.
... sensitive. Stepwise regression analyses further revealed that climate changes altered the abundance and richness of bacterial groups primarily through direct routes ...
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Managing Colllinearity in Modeling the Effect of Age in the Prediction of Egg Components of Laying Hens Using Stepwise and Ridge Regression Analysis
... include stepwise regression (Yakubu, 2009) and ridge regression analysis (Smith & Campbell, 1980; Schoeman et ...2007). Stepwise regression is based on building a model by ...
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The impact and desirability of news of risk for schizophrenia.
... Model 2 was developed using stepwise regression of schizo- phrenia impact on to 13 predictors: nonspecific impact, three locus of control indices, physical and social hypohedonia, positi[r] ...
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Rev Bras Med Esporte vol.18 número6
... and stepwise regression analysis were employed to check dependent and independent variables correlation (p ≤ ...After stepwise regression, body weight, pubertal stage, age, height, calcium ...
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FACTORS CONTRIBUTION TO THE ADOPTION OF PRODUCTION TECHNOLOGIES BY POTATO GROWERS IN NORTHWEST BANGLADESH
... linearity, stepwise regression analysis was computed in the present ...of stepwise multiple regression analysis is to insert variables in turn until the regression equation is ...the ...
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Fatores de risco que afetam as complicações da dissecação da veia safena na revascularização cirúrgica do miocárdio.
... Statistically significant variables were entered into a multivariate stepwise regression analysis model which identified female gender, BMI, diabetes, use of internal thoracic artery gra[r] ...
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Braz. J. Cardiovasc. Surg. vol.23 número3 en v23n3a06
... Statistically significant variables were entered into a multivariate stepwise regression analysis model which identified female gender, BMI, diabetes, use of internal thoracic artery gra[r] ...
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Professor, Institute of New Imaging Technologies, Universitat Jaume I, Castellón, Spain Dissertation co-supervised by
... the stepwise regression analysis was performed on the whole duration 7 months, the result shows: humidity, aula (classrooms), temperature, day type, laboratory and wind speed variables were used in a ...
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Braz. J. Cardiovasc. Surg. vol.26 número2
... A logistic stepwise regression analysis was performed to determine the best fitting model for identification of independent predictors of operative death after ventricular restoration su[r] ...
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Regressão múltipla stepwise e hierárquica em Psicologia Organizacional: aplicações, problemas e soluções.
... regressão stepwise no método ME pare- ce ser uma estratégia muito adequada para selecionar o mo- delo explicativo que mais se ajusta aos seus dados, desde que sejam evitados altos níveis de multicolinearidade, ...
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Alternative Fuzzy Switching Regression
... Regression analysis is used to model the function relation between the independent and dependent variables. Usually, a single regression model is used for fitting a data set. However, the data set may ...
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Stepwise API usage assistance using n-gram language models
... for stepwise API usage assistance through code completion, based on an API sentence model built from source code corpora using n-gram probabilistic language models ...
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Influência de fatores afetivos, antropométricos e sociodemográficos sobre o comportamento alimentar em jovens atletas.
... Objective: The aim of this study was to analyze the inluence of various factors on the ina- dequate eating behavior (IEB) in young female athletes. Methods: Participants 116 athletes. The IEB was evaluated by applying ...
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The Two Feasible Seemingly Unrelated Regression Estimator
... (OLS) regression by applying regression of dependent variables on all explanatory variables explored that the coefficient estimators are best linear unbiased estimator (BLUE) he derived the exact moments of ...
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Truncated quantile regression
... As mentioned before, a study of relative efficiency of the randomly- trimmed quantile estimator vis-a-vis other estimators of models with frac- tional dependent variable is beyond the scope of the present article. ...
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STEPWISE SELECTION OF VARIABLES IN DEA USING CONTRIBUTION LOADS
... The usual procedure of dealing with the aforementioned problem is to apply a backward/forward variable selection method, starting with a full model and dropping variables in an stepwise algo- rithm. Many of these ...
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Revisit of Logistic Regression
... In the experimental results on multi-class classifications using various datasets, the proposed methods exhibit favorable performances in terms of classification accuracies and computati[r] ...
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Econometrics of Ascending Auctions by Quantile Regression
... quantile regression to recover the underlying distribution of bidders’ private values in ascend- ing auctions under the IPV ...quantile regression approach provides a flexible and convenient parametrization ...
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