Non-parametric bootstrap for computing G-best and d-best PCS

Description

Non-parametric bootstrap for computing G-best and d-best PCS. This function is called by the wrapper PCS.boot.np.

Usage

1
PdCSGt.bootstrap.NP2(X1, X2, T, D, G, N, trunc = 6)

Arguments

X1

k by n1 matrix of data. k is the number of populations and n1 the sample size of the first treatment.

X2

k by n2 matrix of data. k is the number of populations and n2 the sample size of the second treatment.

T

Vector of the number of statistics (or parameters) desired to be selected

D

Vector of d-best selection parameters

G

Vector of G-best selection parameters

N

The bootstrap sample size

trunc

Number of standard errors below the minimum selected population to disregard in the estimation of PCS; it is a truncation parameter to decrease run time

Value

A matrix whose rows are the entries of G or D and whose columns are the entries of T. If both G and D are entered, then a list is returned, where the $G element is the G-best matrix, the $d element is the d-best matrix.

Author(s)

Jason Wilson, <jason.wilson@biola.edu>

References

Cui, X. and Wilson, J. 2009. A Simulation Study on the Probability of Correct Selection for Large k Populations. Communications in Statistics: Simulation and Computation. 38:6. http://www.bubbs.biola.edu/~jason.wilson/Article2_sim_revised02.pdf

See Also

PCS.boot.np