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As an example, in a two dimensional problem, the line that best divides the two groups is perpendicular to . Generally, the data points to be discriminated are projected onto ; then the threshold that best separates the data is chosen from analysis of the one-dimensional distribution. There is no general rule for the threshold.
Discrimination can also occur on group variances in the signals (i.e. in how noisy the signal is), even assuming equal averages. For variance-based discrimination to occur, the decision maker needs to be risk averse; such a decision maker will prefer the group with the lower variance. [8]
Statistical discrimination may refer to: Statistical discrimination (economics) Linear discriminant analysis (statistics) This page was last edited on 30 ...
For example, if an hypothetical fire department used a 100-pound test, that policy might disproportionately exclude female job applicants from employment. Under the 80% rule mentioned above, unsuccessful female job applicants would have a prima facie case of disparate impact "discrimination" against the department if they passed the 100-pound ...
The goodness of fit of a statistical model describes how well it fits a set of observations. Measures of goodness of fit typically summarize the discrepancy between observed values and the values expected under the model in question.
Bayesian statistics are based on a different philosophical approach for proof of inference.The mathematical formula for Bayes's theorem is: [|] = [|] [] []The formula is read as the probability of the parameter (or hypothesis =h, as used in the notation on axioms) “given” the data (or empirical observation), where the horizontal bar refers to "given".
Using Blinder-Oaxaca decomposition one can distinguish between "change of mean" contribution (purple) and "change of effect" contribution. The Blinder-Oaxaca decomposition (/ ˈ b l aɪ n d ər w ɑː ˈ h ɑː k ɑː /) or Kitagawa decomposition, is a statistical method that explains the difference in the means of a dependent variable between two groups by decomposing the gap into within ...
The item-total correlation provides an index of the discrimination or differentiating power of the item, and is typically referred to as item discrimination. In addition, these statistics are calculated for each response of the oft-used multiple choice item, which are used to evaluate items and diagnose possible issues, such as a confusing ...