PdofCSt.T1or2: Exact PCS, when selecting t=1 or t=2 or more populations

Description Usage Arguments Value Author(s) References See Also

Description

PdofCSt.T1or2 calls PofCSt to implement the d-best PCS formula for the case of t=1 or t=2 populations. It is called by PdofCSt.cyc2, which implements the d-best PCS formula for general t populations. PofCSGt calls PofCSt to implement the G-best formula for general t. These functions are modular and implement the time reduction techniques of Cui and Wilson (2007).

Usage

1
2
3
PdofCSt.T1or2(theta, T, d, m = 20, tol = 1e-08)
PdofCSt.cyc2(theta, T, d, m = 20, tol = 1e-08)
PofCSGt(theta, T, Gd, m = 20, tol = 1e-08)

Arguments

theta

Vector of statistics (or parameters) from which it is desired to select the top t of them

T

The number of statistics (or parameters) desired to be selected

d

The d-best selection parameter (scalar)

Gd

The G-best selection parameter (scalar)

m

Number of nodes employed in the Gauss-Hermite quadrature

tol

Tolerance parameter to set the cut-off level for the inclusion of additional probability components in PCS

Value

The probability of correct selection.

Author(s)

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

References

Cui, X. and Wilson, J. 2007. On How to Calculate the Probability of Correct Selection for Large k Populations. University of California, Riverside Statistics Department Technical Report 297. http://www.bubbs.biola.edu/~jason.wilson/Article2_tech_techreport.pdf

See Also

PofCSt, PdofCSt.T1or2, PdofCSt.cyc2, PofCSGt


PCS documentation built on May 2, 2019, 9:34 a.m.