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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. Cape Libraries Automated Materials Sharing - Wikipedia

    en.wikipedia.org/wiki/Cape_Libraries_Automated...

    The Cape Libraries Automated Materials Sharing (CLAMS) library network is a non-profit consortium of 35 member libraries and 38 locations throughout Cape Cod, Martha's Vineyard, and Nantucket. Since it was founded in 1988, [ 1 ] the number of items available has grown from 568,000 in 1991 to over 1.6 million in 2022. [ 2 ]

  4. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    The assumption of a particular form for the relation between Y and X is another source of uncertainty. A properly conducted regression analysis will include an assessment of how well the assumed form is matched by the observed data, but it can only do so within the range of values of the independent variables actually available.

  5. What Is Tax Form 941, and Who Needs to File It? - AOL

    www.aol.com/finance/tax-form-941-needs-file...

    You'll file Form 941 quarterly to report employee federal withholdings.

  6. Outline of regression analysis - Wikipedia

    en.wikipedia.org/wiki/Outline_of_regression_analysis

    The following outline is provided as an overview of and topical guide to regression analysis: Regression analysis – use of statistical techniques for learning about the relationship between one or more dependent variables ( Y ) and one or more independent variables ( X ).

  7. Regularized least squares - Wikipedia

    en.wikipedia.org/wiki/Regularized_least_squares

    Regularized least squares (RLS) is a family of methods for solving the least-squares problem while using regularization to further constrain the resulting solution.. RLS is used for two main reasons.

  8. Least-angle regression - Wikipedia

    en.wikipedia.org/wiki/Least-angle_regression

    In statistics, least-angle regression (LARS) is an algorithm for fitting linear regression models to high-dimensional data, developed by Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani. [1] Suppose we expect a response variable to be determined by a linear combination of a subset of potential covariates.

  9. RATS (software) - Wikipedia

    en.wikipedia.org/wiki/RATS_(software)

    The forerunner of RATS was a FORTRAN program called SPECTRE, written by economist Christopher A. Sims. [2] SPECTRE was designed to overcome some limitations of existing software that affected Sims' research in the 1970s, by providing spectral analysis and also the ability to run long unrestricted distributed lags. [3]