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The best example of the plug-in principle, the bootstrapping method. Bootstrapping is a statistical method for estimating the sampling distribution of an estimator by sampling with replacement from the original sample, most often with the purpose of deriving robust estimates of standard errors and confidence intervals of a population parameter like a mean, median, proportion, odds ratio ...
in the ternary numeral system, each digit is a trit (trinary digit) having a value of: 0, 1, or 2; in the skew binary number system, only the least-significant non-zero digit can have a value of 2, and the remaining digits have a value of 0 or 1; 1 for true, 2 for false, and 0 for unknown, unknowable/undecidable, irrelevant, or both; [16]