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  2. Weighting - Wikipedia

    en.wikipedia.org/wiki/Weighting

    A commonly used weighting is the A-weighting curve, which results in units of dBA sound pressure level. Because the frequency response of human hearing varies with loudness, the A-weighting curve is correct only at a level of 40- phon and other curves known as B- , C- and D-weighting are also used, the latter being particularly intended for the ...

  3. Weighted least squares - Wikipedia

    en.wikipedia.org/wiki/Weighted_least_squares

    Weighted least squares (WLS), also known as weighted linear regression, [1] [2] is a generalization of ordinary least squares and linear regression in which knowledge of the unequal variance of observations (heteroscedasticity) is incorporated into the regression.

  4. Weighting curve - Wikipedia

    en.wikipedia.org/wiki/Weighting_curve

    A weighting curve is a graph of a set of factors, that are used to 'weight' measured values of a variable according to their importance in relation to some outcome. An important example is frequency weighting in sound level measurement where a specific set of weighting curves known as A-, B-, C-, and D-weighting as defined in IEC 61672 [1] are used.

  5. For Dummies - Wikipedia

    en.wikipedia.org/wiki/For_Dummies

    Also, some books in the series are smaller and do not follow the same formatting style as the others. Wiley has also launched an interactive online course with Learnstreet based on its popular book, Java for Dummies, 5th edition. [7] A spin-off board game, Crosswords for Dummies, was produced in the late 1990s. [8]

  6. Dan Gookin - Wikipedia

    en.wikipedia.org/wiki/Dan_Gookin

    Dan Gookin is a computer book author who wrote the first ...For Dummies books including DOS for Dummies and PCs for Dummies, establishing the design and voice of the long-running series that followed, incorporating humor and jokes into a format for beginners on any subject. He also is a member of the Coeur d'Alene City Council.

  7. Weighted statistics - Wikipedia

    en.wikipedia.org/wiki/Weighted_statistics

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  9. Inverse probability weighting - Wikipedia

    en.wikipedia.org/wiki/Inverse_probability_weighting

    Inverse probability weighting is a statistical technique for estimating quantities related to a population other than the one from which the data was collected. Study designs with a disparate sampling population and population of target inference (target population) are common in application. [ 1 ]