enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Analysis of variance - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_variance

    Analysis of variance (ANOVA) is a family of statistical methods used to compare the means of two or more groups by analyzing variance. Specifically, ANOVA compares the amount of variation between the group means to the amount of variation within each group. If the between-group variation is substantially larger than the within-group variation ...

  3. Design–Expert - Wikipedia

    en.wikipedia.org/wiki/Design–Expert

    Design–Expert offers test matrices for screening up to 50 factors. A power calculator helps establish the number of test runs needed. ANOVA is provided to establish statistical significance. Based on the validated predictive models, a numerical optimizer helps the user determine the ideal values for each of the factors in the experiment. [7]

  4. Comparison of statistical packages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_statistical...

    Statistical Solutions No Proprietary: Dataplot: Alan Heckert 2013 () Yes Public domain: CLI, GUI: Fortran ELKI: Ludwig Maximilian University of Munich: 0.7.5 (15 February 2019 ()) Yes AGPL: CLI, GUI: Java: Shell (computing) Epi Info: Centers for Disease Control and Prevention 27 June 2016 () Yes Public domain: CLI, GUI: Microsoft C#: EViews

  5. One-way analysis of variance - Wikipedia

    en.wikipedia.org/wiki/One-way_analysis_of_variance

    This analysis of variance technique requires a numeric response variable "Y" and a single explanatory variable "X", hence "one-way". [1] The ANOVA tests the null hypothesis, which states that samples in all groups are drawn from populations with the same mean values. To do this, two estimates are made of the population variance.

  6. MedCalc - Wikipedia

    en.wikipedia.org/wiki/MedCalc

    MedCalc includes basic parametric and non-parametric statistical procedures and graphs such as descriptive statistics, ANOVA, Mann–Whitney test, Wilcoxon test, χ 2 test, correlation, linear as well as non-linear regression, logistic regression, and multivariate statistics. [5]

  7. G*Power - Wikipedia

    en.wikipedia.org/wiki/G*Power

    Additionally, the user must determine which of the many contexts this test is being used, such as a one-way ANOVA versus a multi-way ANOVA. In order to calculate power, the user must know four of five variables: either number of groups, number of observations, effect size, significance level (α), or power (1-β). G*Power has a built-in tool ...

  8. Jackknife resampling - Wikipedia

    en.wikipedia.org/wiki/Jackknife_resampling

    John Tukey expanded on the technique in 1958 and proposed the name "jackknife" because, like a physical jack-knife (a compact folding knife), it is a rough-and-ready tool that can improvise a solution for a variety of problems even though specific problems may be more efficiently solved with a purpose-designed tool.

  9. Multivariate analysis of variance - Wikipedia

    en.wikipedia.org/wiki/Multivariate_analysis_of...

    The image above depicts a visual comparison between multivariate analysis of variance (MANOVA) and univariate analysis of variance (ANOVA). In MANOVA, researchers are examining the group differences of a singular independent variable across multiple outcome variables, whereas in an ANOVA, researchers are examining the group differences of sometimes multiple independent variables on a singular ...