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  2. Homoscedasticity and heteroscedasticity - Wikipedia

    en.wikipedia.org/wiki/Homoscedasticity_and...

    Heteroscedasticity often occurs when there is a large difference among the sizes of the observations. A classic example of heteroscedasticity is that of income versus expenditure on meals. A wealthy person may eat inexpensive food sometimes and expensive food at other times. A poor person will almost always eat inexpensive food.

  3. Homogeneity and heterogeneity (statistics) - Wikipedia

    en.wikipedia.org/wiki/Homogeneity_and...

    Plot with random data showing heteroscedasticity: The variance of the y-values of the dots increases with increasing values of x. In statistics, a sequence of random variables is homoscedastic (/ ˌ h oʊ m oʊ s k ə ˈ d æ s t ɪ k /) if all its random variables have the same finite variance; this is also known as homogeneity of variance ...

  4. Heteroskedasticity-consistent standard errors - Wikipedia

    en.wikipedia.org/wiki/Heteroskedasticity...

    Heteroskedasticity-consistent standard errors that differ from classical standard errors may indicate model misspecification. Substituting heteroskedasticity-consistent standard errors does not resolve this misspecification, which may lead to bias in the coefficients. In most situations, the problem should be found and fixed. [5]

  5. White test - Wikipedia

    en.wikipedia.org/wiki/White_test

    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 cited articles in economics. [2]

  6. Generalized least squares - Wikipedia

    en.wikipedia.org/wiki/Generalized_least_squares

    This is why some authors prefer to use OLS and reformulate their inferences by simply considering an alternative estimator for the variance of the estimator robust to heteroscedasticity or serial autocorrelation. However, for large samples, FGLS is preferred over OLS under heteroskedasticity or serial correlation.

  7. Microplastics Are in All of Us. Just How Bad Is That, Really?

    www.aol.com/microplastics-us-just-bad-really...

    That’s why the bulk of the responsibility for reducing microplastics exposure is on governments and manufacturers, Woodruff says. For example, regulatory bodies could require washing machines to ...

  8. Goldfeld–Quandt test - Wikipedia

    en.wikipedia.org/wiki/Goldfeld–Quandt_test

    In statistics, the Goldfeld–Quandt test checks for heteroscedasticity in regression analyses. It does this by dividing a dataset into two parts or groups, and hence the test is sometimes called a two-group test. The Goldfeld–Quandt test is one of two tests proposed in a 1965 paper by Stephen Goldfeld and Richard Quandt. Both a parametric ...

  9. ‘Elevated Levels’ of Heavy Metals Found in Popular Protein ...

    www.aol.com/scientists-just-found-lead-cadmium...

    A new Clean Label Project report suggests some protein powders contain heavy metals lead and cadmium. See which ones are safe here, plus what an expert advises.