Search for "Analysis of variance" in article titles:

1. Analysis of variance: Analysis of variance or ANOVA is a statistical method for comparing different models. Models are built with explanatory parameters that attempt to describe the variance of a given data set. [100%] 2023-02-24 [Probability and Statistics]
2. Analysis of variance: The main types of ANOVA are listed below. They are all part of the general linear model. [100%] 2024-01-20 [ANOVA]
3. Analysis of rhythmic variance: In statistics, analysis of rhythmic variance (ANORVA) is a method for detecting rhythms in biological time series, published by Peter Celec (Biol Res. 2004, 37(4 Suppl A):777–82). (Statistical method for detecting rhythms in biological time series) [86%] 2024-07-14 [Analysis of variance] [Time series]...
4. One-way analysis of variance: In statistics, one-way analysis of variance (abbreviated one-way ANOVA) is a technique that can be used to compare whether two sample's means are significantly different or not (using the F distribution). This technique can be used only ... [77%] 2023-02-18 [Analysis of variance] [Statistical tests]...
5. Two-way analysis of variance: 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 ... (Statistical test examining influence of two categorical variables on one continuous variable) [77%] 2024-04-06 [Analysis of variance]
6. Two-way analysis of variance: 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 ... (Statistical test examining influence of two categorical variables on one continuous variable) [77%] 2025-02-17 [Analysis of variance]
7. Kruskal–Wallis one-way analysis of variance: The Kruskal–Wallis test by ranks, Kruskal–Wallis H test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks is a non-parametric method for testing whether samples originate from the same distribution. (Non-parametric method for testing whether samples originate from the same distribution) [65%] 2023-12-04 [Statistical tests] [Analysis of variance]...
8. Kruskal–Wallis one-way analysis of variance: The Kruskal–Wallis test by ranks, Kruskal–Wallis H test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks is a non-parametric method for testing whether samples originate from the same distribution. (Non-parametric method for testing whether samples originate from the same distribution) [65%] 2023-10-19 [Statistical tests] [Analysis of variance]...