enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Pseudo-R-squared - Wikipedia

    en.wikipedia.org/wiki/Pseudo-R-squared

    The last value listed, labelled “r2CU” is the pseudo-r-squared by Nagelkerke and is the same as the pseudo-r-squared by Cragg and Uhler. Pseudo-R-squared values are used when the outcome variable is nominal or ordinal such that the coefficient of determination R 2 cannot be applied as a measure for goodness of fit and when a likelihood ...

  3. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

  4. Nico Nagelkerke - Wikipedia

    en.wikipedia.org/wiki/Nico_Nagelkerke

    He is well known in epidemiology thanks to his invention of what is now known as the "Nagelkerke R2", which is one of a number of generalisations of the coefficient of determination from linear regression to logistic regression, see Pseudo-R-squared, Coefficient of determination, Logistic regression.

  5. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more error-free independent variables (often called regressors, predictors, covariates, explanatory ...

  6. Errors and residuals - Wikipedia

    en.wikipedia.org/wiki/Errors_and_residuals

    In regression analysis, the distinction between errors and residuals is subtle and important, and leads to the concept of studentized residuals. Given an unobservable function that relates the independent variable to the dependent variable – say, a line – the deviations of the dependent variable observations from this function are the ...

  7. Suze Orman says everyone should invest in a 401(k) – but ...

    www.aol.com/suze-orman-says-everyone-invest...

    In addition, "It is common to assume that a 401(k) loan is effectively cost-free since the interest is paid back into the participant’s own 401(k) account," says James B. Twining, CFP®, CEO and ...

  8. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    Logistic regression is used in various fields, including machine learning, most medical fields, and social sciences. For example, the Trauma and Injury Severity Score (), which is widely used to predict mortality in injured patients, was originally developed by Boyd et al. using logistic regression. [6]

  9. Mystery NJ drones are coming from Iranian mothership ... - AOL

    www.aol.com/mystery-nj-drones-coming-iranian...

    A New Jersey congressman claimed Wednesday that the mystery drones over the Garden State are from Iran, and they’re being launched by a mothership parked off the East Coast.