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  2. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    The probability of type I errors is called the "false reject rate" (FRR) or false non-match rate (FNMR), while the probability of type II errors is called the "false accept rate" (FAR) or false match rate (FMR). If the system is designed to rarely match suspects then the probability of type II errors can be called the "false alarm rate". On the ...

  3. Per-comparison error rate - Wikipedia

    en.wikipedia.org/wiki/Per-comparison_error_rate

    This statistics -related article is a stub. You can help Wikipedia by expanding it.

  4. Crossover (evolutionary algorithm) - Wikipedia

    en.wikipedia.org/wiki/Crossover_(evolutionary...

    The order crossover goes back to Davis [1] in its original form and is presented here in a slightly generalized version with more than two crossover points. It transfers information about the relative order from the second parent to the offspring. First, the number and position of the crossover points are determined randomly.

  5. Unequal crossing over - Wikipedia

    en.wikipedia.org/wiki/Unequal_crossing_over

    The rate of unequal crossing over will increase with the number of repeated sequences around the duplication. This is because these repeated sequences will pair together, allowing for the mismatch in the cross over point to occur.

  6. Family-wise error rate - Wikipedia

    en.wikipedia.org/wiki/Family-wise_error_rate

    Hochberg's step-up procedure (1988) is performed using the following steps: [7] Start by ordering the p-values (from lowest to highest) () … and let the associated hypotheses be …

  7. Chromosomal crossover - Wikipedia

    en.wikipedia.org/wiki/Chromosomal_crossover

    Sister chromatid crossover events are known to occur at a rate of several crossover events per cell per division in eukaryotes. [29] Most of these events involve an exchange of equal amounts of genetic information, but unequal exchanges may occur due to sequence mismatch.

  8. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.

  9. Error rate - Wikipedia

    en.wikipedia.org/wiki/Error_rate

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