Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms是俄勒冈州立大学(Oregon State University)CS专业的Thomas G. Dietterich于1998年在Neural Computation上发表的。 该文章以一个问题为引子(Given two learning algorithms A and B and a small data set S, which algorithm will ...
In this chapter we continue our discussion and address the question, "It looks different, but is it really different?" This involves our first inferential statistical procedures: chi-square, t-tests, and analysis of variance (ANOVA).doi:10.1007/978-3-030-49720-0_6Jason S. Schwarz...
t-Test:Used to compare the means of two groups. There are two types: independent samples t-test (for comparing two different groups) and paired samples t-test (for comparing two related groups, such as the same group before and after treatment). ...
In Chap. 5 we saw how to break out data by groups and inspect it with tables and charts. In this chapter we continue our discussion and address the question, "It looks different, but is it really different?" This involves our first inferential statistical procedures: chi-square, t -tests...
The independent t-test is also called the two-sample t-test. It is a statistical test that determines whether there is a statistically significant difference between the means in two unrelated groups. For example, comparing cancer patients and pregnant women in a population. ...
Alternatively, if events relate to a fixed follow-up time then methods for comparing two proportions (for example, the 蠂2 test) may be used. This article describes a much easier method than these, which readers can use to assess quickly the strength of evidence for a treatment difference ...
Although statistical procedures are well-known for comparing hierarchically related (nested) mean and covariance structure models, statistical tests for comparing non-hierarchically related (nonnested) models have proven more elusive. Although isolated attempts at statistical tests of non-hierarchically ...
When comparing two groups, you need to decide whether to use a paired test. When comparing three or more groups, the term paired is not apt and the term repeated measures is used instead. Use an unpaired test to compare groups when the individual values are not paired or matched with one...
Comparison tests look fordifferences among group means. They can be used to test the effect of a categorical variable on the mean value of some other characteristic. T-testsare used when comparing the means of precisely two groups (e.g. the average heights of men and women).ANOVAand MANOVA...
whether the variability of two samples differEach of these questions can be answered using the following statistical tests:Correlation test between two variables Correlation matrix between multiple variables Comparing the means of two groups: Student’s t-test (parametric) Wilcoxon rank test (non-...