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  2. Heteroskedasticity-consistent standard errors - Wikipedia

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

    These are also known as heteroskedasticity-robust standard errors (or simply robust standard errors), Eicker–HuberWhite standard errors (also HuberWhite standard errors or White standard errors), [1] to recognize the contributions of Friedhelm Eicker, [2] Peter J. Huber, [3] and Halbert White. [4]

  3. How Do I Know If I Need Errors and Omissions (E&O) Insurance?

    www.aol.com/know-errors-omissions-e-o-142224102.html

    Professional liability insurance, often referred to as errors and omissions (E&O) insurance, covers claims of negligence or oversights by businesses offering professional advice.

  4. Do I Need Errors and Omissions (E&O) Insurance? - AOL

    www.aol.com/errors-omissions-e-o-insurance...

    Errors and omissions (E&O) insurance protects businesses from claims of negligence or inadequate work, serving as a critical safeguard for individuals and businesses in various industries.

  5. Generalized estimating equation - Wikipedia

    en.wikipedia.org/wiki/Generalized_estimating...

    Huber-White standard errors improve the efficiency of Liang-Zeger GEE in the absence of serial autocorrelation but may remove the marginal interpretation. GEE estimates the average response over the population ("population-averaged" effects) with Liang-Zeger standard errors , and in individuals using Huber-White standard errors , also known as ...

  6. Professional liability insurance - Wikipedia

    en.wikipedia.org/wiki/Professional_liability...

    Errors and omissions (E&O) insurance, which may exclude negligent acts other than errors and omissions ("mistakes"), is most often used by consultants and brokers and agents of various sorts, including notaries public, real estate brokers, insurance agents themselves, appraisers, management consultants and information technology service providers (there are specific E&O policies for software ...

  7. Clustered standard errors - Wikipedia

    en.wikipedia.org/wiki/Clustered_standard_errors

    Huber-White standard errors assume is diagonal but that the diagonal value varies, while other types of standard errors (e.g. Newey–West, Moulton SEs, Conley spatial SEs) make other restrictions on the form of this matrix to reduce the number of parameters that the practitioner needs to estimate.

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