Search results
Results from the Tech24 Deals Content Network
Analysis of variance. Analysis of variance ( ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means. ANOVA was developed by the statistician Ronald Fisher.
Multiple comparisons problem. An example of coincidence produced by data dredging (uncorrected multiple comparisons) showing a correlation between the number of letters in a spelling bee's winning word and the number of people in the United States killed by venomous spiders. Given a large enough pool of variables for the same time period, it is ...
The Kruskal–Wallis test by ranks, Kruskal–Wallis test[ 1] (named after William Kruskal and W. Allen Wallis ), or one-way ANOVA on ranks[ 1] is a non-parametric statistical test for testing whether samples originate from the same distribution. [ 2][ 3][ 4] It is used for comparing two or more independent samples of equal or different sample ...
Statistical test. In statistics, one-way analysis of variance(or one-way ANOVA) is a technique to compare whether two or more samples' means are significantly different (using the F distribution). This analysis of variancetechnique requires a numeric responsevariable "Y" and a single explanatory variable "X", hence "one-way".
In statistics, a mixed-design analysis of variance model, also known as a split-plot ANOVA, is used to test for differences between two or more independent groups whilst subjecting participants to repeated measures. Thus, in a mixed-design ANOVA model, one factor (a fixed effects factor) is a between-subjects variable and the other (a random ...
ANOVA gauge R&R. ANOVA gage repeatability and reproducibility is a measurement systems analysis technique that uses an analysis of variance (ANOVA) random effects model to assess a measurement system. The evaluation of a measurement system is not limited to gage but to all types of measuring instruments, test methods, and other measurement systems.
In statistics, Scheffé's method, named after American statistician Henry Scheffé, is a method for adjusting significance levels in a linear regression analysis to account for multiple comparisons. It is particularly useful in analysis of variance (a special case of regression analysis), and in constructing simultaneous confidence bands for ...
In statistics, the two-way analysis of variance ( ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable. The two-way ANOVA not only aims at assessing the main effect of each independent variable but also if there is any interaction between ...