The fast double bootstrap, or FDB, is a procedure for calculating bootstrap P values that is much more computationally … efficient than the double bootstrap itself. In many cases, it can provide more accurate results than ordinary bootstrap tests …. For the fast double bootstrap to be valid, the test statistic must be asymptotically independent of the random parts of …

bootstrap P values that will often be more accurate than ordinary ones. This "fast double bootstrap" is closely related to the … double bootstrap, but it is far less computationally demanding. Simulation results for three different cases suggest that …

The fast double bootstrap, or FDB, is a procedure for calculating bootstrap P values that is much more computationally … efficient than the double bootstrap itself. In many cases, it can provide more accurate results than ordinary bootstrap tests …. For the fast double bootstrap to be valid, the test statistic must be asymptotically independent of the random parts of …

bootstrap P values that will often be more accurate than ordinary ones. This "fast double bootstrap" is closely related to the … double bootstrap, but it is far less computationally demanding. Simulation results for three different cases suggest that …

frontier of the schools. Using Simar and Wilson's (2007) double bootstrap procedure for data envelopment analysis (DEA), the …

ACox nonnested test is conducted using a fast double bootstrap (FDB) method to select among three competing functional …

external variables is satisfied. Moreover, a double bootstrap algorithm is run to compute valid standard errors and confidence …