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  2. Factor graph - Wikipedia

    en.wikipedia.org/wiki/Factor_graph

    with a corresponding factor graph shown on the right. Observe that the factor graph has a cycle. If we merge (,) (,) into a single factor, the resulting factor graph will be a tree. This is an important distinction, as message passing algorithms are usually exact for trees, but only approximate for graphs with cycles.

  3. Class rank - Wikipedia

    en.wikipedia.org/wiki/Class_rank

    The top ten percent of students in Texas high schools are guaranteed admission to the state school [broken anchor] of their choice, [4] excluding the University of Texas, which only allocates 75% of its incoming freshman class seats to top 6% members.

  4. Percentile - Wikipedia

    en.wikipedia.org/wiki/Percentile

    One definition of percentile, often given in texts, is that the P-th percentile (<) of a list of N ordered values (sorted from least to greatest) is the smallest value in the list such that no more than P percent of the data is strictly less than the value and at least P percent of the data is less than or equal to that value. This is obtained ...

  5. Life table - Wikipedia

    en.wikipedia.org/wiki/Life_table

    Life table" primarily refers to period life tables, as cohort life tables can only be constructed using data up to the current point, and distant projections for future mortality. Life tables can be constructed using projections of future mortality rates, but more often they are a snapshot of age-specific mortality rates in the recent past, and ...

  6. Scree plot - Wikipedia

    en.wikipedia.org/wiki/Scree_plot

    A scree plot always displays the eigenvalues in a downward curve, ordering the eigenvalues from largest to smallest. According to the scree test, the "elbow" of the graph where the eigenvalues seem to level off is found and factors or components to the left of this point should be retained as significant. [3]

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  8. Factor analysis - Wikipedia

    en.wikipedia.org/wiki/Factor_analysis

    The scores of each case (row) on each factor (column). To compute the factor score for a given case for a given factor, one takes the case's standardized score on each variable, multiplies by the corresponding loadings of the variable for the given factor, and sums these products. Computing factor scores allows one to look for factor outliers.

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