Search

What is another word for heteroscedasticity?

Pronunciation: [hˌɛtɹə͡ʊsˌɛdastˈɪsɪti] (IPA)

Heteroscedasticity refers to a statistical phenomenon where the variability in a dataset is not constant across all levels of the independent variable. This concept is crucial in various statistical analyses, as it indicates when there is a violation of the assumption of equal variances. Synonyms for heteroscedasticity include non-constant variance, uneven spread, unequal variability, and non-homogeneity of variances. These terms all capture the idea that the variance of the dependent variable changes across different levels of the independent variable. Recognizing heteroscedasticity is important as it can undermine the validity of statistical models and require researchers to employ appropriate techniques, such as robust standard errors or transformation of variables, to address this issue.
Opposite words
Antonyms
Search

What are the opposite words for heteroscedasticity?

Heteroscedasticity is a statistical term that describes the unequal distribution or dispersion of a variable in a data set. Antonyms for heteroscedasticity include homoscedasticity, which refers to data that has a uniform amount of dispersion, and constant variance, which means that the variance of the data is the same across all levels of the independent variable. Another antonym for heteroscedasticity is homogeneity of variance, which indicates that the variability of a variable is consistent and consistent across different groups or subsets of the data. These antonyms are important to understand in statistical analysis as they can have a significant impact on the validity of study outcomes.

What are the antonyms for Heteroscedasticity?

Word of the Day

Ocular Disparity
Ocular disparity refers to the difference in perspective between the eyes, which allows for depth perception. The antonym of ocular disparity would be "ocular homogeneity," which r...