Graphical F Plot for Significance in RegressionW. John Braun
Multiple Regression AnalysisPredictor VariablesStatistical SignificanceVisual AidsThere has been frequent confusion about the meaning of the various possible tests of significance in multiple regression, and this has led to discussions of "apparent contradictions" in regression. This paper considers the case...
significance of F，就是F test的p-value的另一种说法。
“significance of F”是F test的“p-value”的另一种表述方式。所以当significance of F / p-value...
In order to test for the significance of a regression model involving 14 independent variables and 255 observations, the numerator and denominator degrees of freedom (respectively) for the critical value of F are A. 14 and 255 B. 255 and 14 C. 14 and 240 D. 13 and 240 ...
Regression models with a response variable taking values in a Hilbert space and hybrid covariates are considered. This means two sets of regressors are allowed, one of finite dimension and a second one functional with values in a Hilbert space. The problem we address is the test of the effect...
We consider the problem of testing significance of predictors in multivariate nonparametric quantile regression. A stochastic process is proposed, which is based on a comparison of the responses with a nonparametric quantile regression estimate under the null hypothesis. It is demonstrated that under the...
Evaluation of polynomial regression models for the Student t and Fisher F critical values, the best interpolation equations from double and triple natural ... serious gaps exist in the present critical value tables for the student t and fisher f or anova significance tests. statistically correct ap...
Whenever multiple regression is applied to a multiply imputed data set, several methods for combining significance tests for R2 and the change in R2 across imputed data sets may be used: the combination rules by Rubin, the Fisher z-test for R2 by Harel, and F-tests for the change in R2 ...
Ridge regres- sion has successfully been used to analyse genetic data where SNPs were in high LD [9]; it is the test of signifi- cance used by Malo, Libiger & Schork that we evaluate here. To begin, we consider two regression models com- monly used in the analysis of genetic data...