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  2. Void coefficient - Wikipedia

    en.wikipedia.org/wiki/Void_coefficient

    A positive void coefficient means that the reactivity increases as the void content inside the reactor increases due to increased boiling or loss of coolant; for example, if the coolant acts predominantly as neutron absorber. This positive void coefficient causes a positive feedback loop, starting with the first occurrence of steam bubbles ...

  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. Neutron temperature - Wikipedia

    en.wikipedia.org/wiki/Neutron_temperature

    When the coolant is a liquid that also contributes to moderation and absorption (light water or heavy water), boiling of the coolant will reduce the moderator density, which can provide positive or negative feedback (a positive or negative void coefficient), depending on whether the reactor is under- or over-moderated.

  5. Regression validation - Wikipedia

    en.wikipedia.org/wiki/Regression_validation

    One measure of goodness of fit is the coefficient of determination, often denoted, R 2.In ordinary least squares with an intercept, it ranges between 0 and 1. However, an R 2 close to 1 does not guarantee that the model fits the data well.

  6. Coefficient of multiple correlation - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_multiple...

    The coefficient of multiple correlation is known as the square root of the coefficient of determination, but under the particular assumptions that an intercept is included and that the best possible linear predictors are used, whereas the coefficient of determination is defined for more general cases, including those of nonlinear prediction and those in which the predicted values have not been ...

  7. Effect size - Wikipedia

    en.wikipedia.org/wiki/Effect_size

    In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...

  8. How Democrats Are Faring In First Tests Of The Trump Backlash

    data.huffingtonpost.com/2017/special-elections

    An analysis of special elections since November offers some clues about the party's changing fortunes.

  9. Total operating characteristic - Wikipedia

    en.wikipedia.org/wiki/Total_operating_characteristic

    where is the score for a positive instance and is the score for a negative instance, and and are probability densities as defined in previous section. It can further be shown that the AUC is closely related to the Mann–Whitney U , [ 7 ] [ 8 ] which tests whether positives are ranked higher than negatives.