Definition of Homoscedasticity. Meaning of Homoscedasticity. Synonyms of Homoscedasticity

Here you will find one or more explanations in English for the word Homoscedasticity. Also in the bottom left of the page several parts of wikipedia pages related to the word Homoscedasticity and, of course, Homoscedasticity synonyms and on the right images related to the word Homoscedasticity.

Definition of Homoscedasticity

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Meaning of Homoscedasticity from wikipedia

- of an algorithm that ****umes homoscedasticity is Fisher's linear discriminant analysis. The concept of homoscedasticity can be applied to distributions...
- similar." (page 763) ANOVA ****umes homoscedasticity, but it is robust. The statistical test for homoscedasticity (the F-test) is not robust. Moore &...
- Carlos M.; Bera, Anil K. (1980). "Efficient tests for normality, homoscedasticity and serial independence of regression residuals". Economics Letters...
- studied to several degrees of complexity. For example, considerations of homoscedasticity examine how much the variability of data-values changes throughout...
- of these tests are conducted to test the underlying ****umption of homoscedasticity (i.e. homogeneity of variance), as a preliminary step to testing for...
- po****tion variances are equal (called homogeneity of variance or homoscedasticity). If the resulting p-value of Levene's test is less than some significance...
- If all of the residuals are equal, or do not fan out, they exhibit homoscedasticity. However, a terminological difference arises in the expression mean...
- efficient. It is customary to split this ****umption into two parts: Homoscedasticity: E[ εi2 | X ] = σ2, which means that the error term has the same variance...
- discriminant analysis (QDA). LDA instead makes the additional simplifying homoscedasticity ****umption (i.e. that the class covariances are identical, so Σ 0 =...
- Bartlett's test, named after Maurice Stevenson Bartlett, is used to test homoscedasticity, that is, if multiple samples are from po****tions with equal variances...