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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

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  4. 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.

  5. Error rate - Wikipedia

    en.wikipedia.org/wiki/Error_rate

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  6. Today (American TV program) - Wikipedia

    en.wikipedia.org/wiki/Today_(American_TV_program)

    Today (also called The Today Show) is an American morning television show that airs weekdays from 7:00 a.m. to 11:00 a.m. on NBC.The program debuted on January 14, 1952. It was the first of its genre on American television and in the world, and after 73 years of broadcasting it is fifth on the list of longest-running American television serie

  7. 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 …

  8. 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.

  9. False coverage rate - Wikipedia

    en.wikipedia.org/wiki/False_coverage_rate

    In statistics, a false coverage rate (FCR) is the average rate of false coverage, i.e. not covering the true parameters, among the selected intervals. The FCR gives a simultaneous coverage at a (1 − α)×100% level for all of the parameters considered in the problem. The FCR has a strong connection to the false discovery rate (FDR).