منابع مشابه
Significance Testing
6-Step Method for Tests of Significance ........................................................................ 1 Estimation versus Testing ............................................................................................... 2 Overview of Tests of Significance .................................................................................. 3 Purpose of Significance Testing ..........
متن کاملSignificance Testing
As with ordinary least squares regression or logistic regression, we can consider significance tests for individual estimates, such as intercepts, slopes, and their variances, as well as whether the full model accounts for a significant amount of variance in the dependent variable. In between, there is also the possibility of determining whether of subset of predictors contribute significantly....
متن کاملNonparametric significance testing
A procedure for testing the signi cance of a subset of explanatory variables in a nonparametric regression is proposed Our test statistic uses the kernel method Under the null hypothesis of no e ect of the variables under test we show that our test statistic has a nh standard normal limiting distribution where p is the dimension of the complete set of regressors Our test is one sided consistent...
متن کاملSignificance Testing and Confidence Intervals
probabilities, it can be determined that combining the probability values of 0.11 and 0.07 results in a probability value of 0.045. Therefore, these two nonsignificant findings taken together result in a significant finding. Although there is never a statistical basis for concluding that an effect is exactly zero, a statistical analysis can demonstrate that an effect is most likely small. This ...
متن کاملTesting Significance in Bayesian Classifiers
The Fully Bayesian Significance Test (FBST) is a coherent Bayesian significance test for sharp hypotheses. This paper explores the FBST as a model selection tool for general mixture models, and gives some computational experiments for Multinomial-Dirichlet-Normal-Wishart models.
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ژورنال
عنوان ژورنال: Collabra: Psychology
سال: 2018
ISSN: 2474-7394
DOI: 10.1525/collabra.108