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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 ...
The motivation behind designing such codes is to relate the rate of the code with the fraction of errors which it can correct. The approach behind the design of codes which meet the channel capacities of BSC {\displaystyle {\text{BSC}}} or the binary erasure channel BEC {\displaystyle {\text{BEC}}} have been to correct a lesser number of errors ...
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.
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The BER is the likelihood of a bit misinterpretation due to electrical noise ().Considering a bipolar NRZ transmission, we have = + for a "1" and () = + for a "0".Each of () and () has a period of .
An N of 1 trial (N=1) is a multiple crossover clinical trial, conducted in a single patient. [1] A trial in which random allocation is used to determine the order in which an experimental and a control intervention are given to a single patient is an N of 1 randomized controlled trial.
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