Like a simpler linear method invented by John Tukey and Maurice Quenouille, this technique is essentially a direct application of the plug-in principle using values from an empirical function.
Thomas DiCiccio introduced a nonlinearity parameter in the ABC method of generating ranges that are calculated using this technique. Some versions of this technique's "wild" form makes use of a two-point function of the form "Y equals a times x plus one minus a times z" to generate desired quantities. Like a simpler linear method invented by John Tukey and Maurice Quenouille, this technique is essentially a direct application of the plug-in principle using values from an empirical function. Points have their values perturbed by a small amount of noise, often proportional to 1 over the square root of n in the (*) "smooth" form of this technique. This technique was introduced by Bradley Efron as a way of correcting bias by generating many subsets of a given data set. It is a generalization of the jackknife method of simulating a sampling distribution. For 10 points, name this class of statistical techniques whose name refers to their ability to "pull" their user up.
Thomas DiCiccio introduced a nonlinearity parameter in the ABC method of generating ranges that are calculated using this technique.
bootstrapping 