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  2. Seemingly unrelated regressions - Wikipedia

    en.wikipedia.org/.../Seemingly_unrelated_regressions

    In econometrics, the seemingly unrelated regressions (SUR) [1]: 306 [2]: 279 [3]: 332 or seemingly unrelated regression equations (SURE) [4] [5]: 2 model, proposed by Arnold Zellner in (1962), is a generalization of a linear regression model that consists of several regression equations, each having its own dependent variable and potentially ...

  3. Stargazer (aircraft) - Wikipedia

    en.wikipedia.org/wiki/Stargazer_(aircraft)

    Stargazer is a Lockheed L-1011 TriStar built in 1974, that was modified in 1994 for use by Orbital Sciences (now part of Northrop Grumman) as a mother ship for the Pegasus, a small-lift launch vehicle. As of October 2022, 45 rockets (containing nearly 100 satellites) have been launched from Stargazer.

  4. Instrumental variables estimation - Wikipedia

    en.wikipedia.org/wiki/Instrumental_variables...

    After much deliberation, Wright decided to use regional rainfall as his instrumental variable: he concluded that rainfall affected grass production and hence milk production and ultimately butter supply, but not butter demand. In this way he was able to construct a regression equation with only the instrumental variable of price and supply. [9]

  5. Fraction of variance unexplained - Wikipedia

    en.wikipedia.org/wiki/Fraction_of_variance...

    When trying to predict Y, the most naive regression function that we can think of is the constant function predicting the mean of Y, i.e., () = ¯. It follows that the MSE of this function equals the variance of Y ; that is, SS err = SS tot , and SS reg = 0.

  6. Proofs involving ordinary least squares - Wikipedia

    en.wikipedia.org/wiki/Proofs_involving_ordinary...

    The normal equations can be derived directly from a matrix representation of the problem as follows. The objective is to minimize = ‖ ‖ = () = +.Here () = has the dimension 1x1 (the number of columns of ), so it is a scalar and equal to its own transpose, hence = and the quantity to minimize becomes

  7. Newey–West estimator - Wikipedia

    en.wikipedia.org/wiki/Newey–West_estimator

    A Newey–West estimator is used in statistics and econometrics to provide an estimate of the covariance matrix of the parameters of a regression-type model where the standard assumptions of regression analysis do not apply. [1] It was devised by Whitney K. Newey and Kenneth D. West in 1987, although there are a number of later variants.

  8. Standardized coefficient - Wikipedia

    en.wikipedia.org/wiki/Standardized_coefficient

    Standardization of the coefficient is usually done to answer the question of which of the independent variables have a greater effect on the dependent variable in a multiple regression analysis where the variables are measured in different units of measurement (for example, income measured in dollars and family size measured in number of individuals).

  9. Durbin–Watson statistic - Wikipedia

    en.wikipedia.org/wiki/Durbin–Watson_statistic

    Minitab: the option to report the statistic in the Session window can be found under the "Options" box under Regression and via the "Results" box under General Regression. Python : a durbin_watson function is included in the statsmodels package ( statsmodels.stats.stattools.durbin_watson ), but statistical tables for critical values are not ...