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A performance indicator or key performance indicator (KPI) is a type of performance measurement. [1] KPIs evaluate the success of an organization or of a particular activity (such as projects, programs, products and other initiatives) in which it engages. [ 2 ]
In statistics and research design, an index is a composite statistic – a measure of changes in a representative group of individual data points, or in other words, a compound measure that aggregates multiple indicators. [1] [2] Indices – also known as indexes and composite indicators – summarize and rank specific observations. [2]
if T(X) is sufficient, then there exists a function f such that S(X) = f(T(X)). Intuitively, a minimal sufficient statistic most efficiently captures all possible information about the parameter θ. A useful characterization of minimal sufficiency is that when the density f θ exists, S(X) is minimal sufficient if and only if [citation needed]
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
The #ifexist function selects one of two alternatives depending on whether a page exists at the specified title. {{#ifexist: page title | value if page exists | value if page doesn't exist}} The page can be in any namespace, so it can be an article or "content page", an image or other media file, a category, etc.
where is an indicator function equaling 1 if the item at rank is a relevant document, zero otherwise. [8] Note that the average is over relevant documents in top-k retrieved documents and the relevant documents not retrieved get a precision score of zero.
To determine the confirmed line item performance two "virtual" quantities are introduced: the virtually committed order and the virtual delivery. The virtually committed order for a product p consists of the actual order for the considered delivery week (DW) plus any backlog of this product accumulated up to that week.
Consider a quality characteristic with a target of 100.00 μm and upper and lower specification limits of 106.00 μm and 94.00 μm, respectively. If, after carefully monitoring the process for a while, it appears that the process is out of control and producing output unpredictably (as depicted in the run chart below), one can't meaningfully estimate its mean and standard deviation.