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  2. Fixed effects model - Wikipedia

    en.wikipedia.org/wiki/Fixed_effects_model

    In statistics, a fixed effects model is a statistical model in which the model parameters are fixed or non-random quantities. This is in contrast to random effects models and mixed models in which all or some of the model parameters are random variables.

  3. Fixed-effect Poisson model - Wikipedia

    en.wikipedia.org/wiki/Fixed-effect_Poisson_model

    This formula looks very similar to the standard Poisson premultiplied by the term a i. As the conditioning set includes the observables over all periods, we are in the static panel data world and are imposing strict exogeneity. [3] Hausman, Hall, and Griliches then use Andersen's conditional Maximum Likelihood methodology to estimate b 0.

  4. Design matrix - Wikipedia

    en.wikipedia.org/wiki/Design_matrix

    The design matrix has dimension n-by-p, where n is the number of samples observed, and p is the number of variables measured in all samples. [4] [5]In this representation different rows typically represent different repetitions of an experiment, while columns represent different types of data (say, the results from particular probes).

  5. Seemingly unrelated regressions - Wikipedia

    en.wikipedia.org/wiki/Seemingly_unrelated...

    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 ...

  6. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    Alternatively, the expression "held fixed" can refer to a selection that takes place in the context of data analysis. In this case, we "hold a variable fixed" by restricting our attention to the subsets of the data that happen to have a common value for the given predictor variable.

  7. Ordinary least squares - Wikipedia

    en.wikipedia.org/wiki/Ordinary_least_squares

    In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values ...

  8. Fixed vs. variable interest rates: How these rate types work ...

    www.aol.com/finance/fixed-vs-variable-interest...

    Here's what to know about fixed and variable rates. Your choice among these two main types come down to how you save and how you borrow. Fixed vs. variable interest rates: How these rate types ...

  9. Template:Math - Wikipedia

    en.wikipedia.org/wiki/Template:Math

    The math template formats mathematical formulas generated using HTML or wiki markup. (It does not accept the AMS-LaTeX markup that <math> does.) The template uses the texhtml class by default for inline text style formulas, which aims to match the size of the serif font with the surrounding sans-serif font (see below).

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