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In statistics, a sequence of random variables is homoscedastic (/ ˌhoʊmoʊskəˈdæstɪk /) if all its random variables have the same finite variance; this is also known as homogeneity of variance. The complementary notion is called heteroscedasticity, also known as heterogeneity of variance. The spellings homoskedasticity and ...
In statistics, homogeneity and its opposite, heterogeneity, arise in describing the properties of a dataset, or several datasets. They relate to the validity of the often convenient assumption that the statistical properties of any one part of an overall dataset are the same as any other part. In meta-analysis, which combines the data from ...
White test is a statistical test that establishes whether the variance of the errors in a regression model is constant: that is for homoskedasticity. This test, and an estimator for heteroscedasticity-consistent standard errors, were proposed by Halbert White in 1980. [1] These methods have become widely used, making this paper one of the most ...
The topic of heteroskedasticity-consistent (HC) standard errors arises in statistics and econometrics in the context of linear regression and time series analysis. These are also known as heteroskedasticity-robust standard errors (or simply robust standard errors), Eicker–Huber–White standard errors (also Huber–White standard errors or ...
Jackson v. Indiana, 406 U.S. 715 (1972), was a landmark decision of the United States Supreme Court that determined a U.S. state violated due process by involuntarily committing a criminal defendant for an indefinite period of time solely on the basis of his permanent incompetency to stand trial on the charges filed against him. [1][2]
This is a list of U.S. Supreme Court cases involving Native American Tribes.Included in the list are Supreme Court cases that have a major component that deals with the relationship between tribes, between a governmental entity and tribes, tribal sovereignty, tribal rights (including property, hunting, fishing, religion, etc.) and actions involving members of tribes.
Heterogeneity in economics. In economic theory and econometrics, the term heterogeneity refers to differences across the units being studied. For example, a macroeconomic model in which consumers are assumed to differ from one another is said to have heterogeneous agents.
Overdispersion. In statistics, overdispersion is the presence of greater variability (statistical dispersion) in a data set than would be expected based on a given statistical model. A common task in applied statistics is choosing a parametric model to fit a given set of empirical observations. This necessitates an assessment of the fit of the ...