NAG Library Routine Document

G01DBF

+− Contents

1 Purpose

2 Specification

3 Description

4 References

5 Parameters

6 Error Indicators and Warnings

7 Accuracy

8 Further Comments

+− 9 Example

9.1 Program Text

9.2 Program Data

9.3 Program Results

1 Purpose

G01DBF calculates an approximation to the set of Normal Scores, i.e., the expected values of an ordered set of independent observations from a Normal distribution with mean

0.0

and standard deviation

1.0

2 Specification

SUBROUTINE G01DBF (

N, PP, IFAIL)

INTEGER	N, IFAIL
REAL (KIND=nag_wp)	PP(N)

3 Description

G01DBF is an adaptation of the Applied Statistics Algorithm AS

177.3

, see Royston (1982). If you are particularly concerned with the accuracy with which G01DBF computes the expected values of the order statistics (see Section 7), then G01DAF which is more accurate should be used instead at a cost of increased storage and computing time.

Let

x_{(1)}, x_{(2)}, \dots, x_{(n)}

be the order statistics from a random sample of size

n

from the standard Normal distribution. Defining

P_{r, n} = Φ (- E (x_{(r)}))

and

Q_{r, n} = \frac{r - ε}{n + γ}, r = 1, 2, \dots, n,

where

E (x_{(r)})

is the expected value of

x_{(r)}

, the current routine approximates the Normal upper tail area corresponding to

E (x_{(r)})

as,

{\tilde{P}}_{r, n} = Q_{r, n} + \frac{δ_{1}}{n} Q_{r, n}^{λ} + \frac{δ_{2}}{n} Q_{r, n}^{2 λ} - C_{r, n} .

for

r = 1, 2, 3

, and

r \geq 4

. Estimates of

ε

γ

δ_{1}

δ_{2}

and

λ

are obtained. A small correction

C_{r, n}

{\tilde{P}}_{r, n}

is necessary when

r \leq 7

and

n \leq 20

The approximation to

E (X_{(r)})

is thus given by

E (x_{(r)}) = - Φ^{- 1} ({\tilde{P}}_{r, n}), r = 1, 2, \dots, n .

Values of the inverse Normal probability integral

Φ^{- 1}

are obtained from G01FAF.

4 References

Royston J P (1982) Algorithm AS 177: expected normal order statistics (exact and approximate) Appl. Statist. 31 161–165

5 Parameters

1: N – INTEGERInput: On entry: $n$ , the size of the sample.
Constraint: $N \geq 1$ .
2: PP(N) – REAL (KIND=nag_wp) arrayOutput: On exit: the Normal scores. $PP (i)$ contains the value $E (x_{(i)})$ , for $i = 1, 2, \dots, n$ .
3: IFAIL – INTEGERInput/Output: On entry: IFAIL must be set to $0$ , $- 1 or 1$ . If you are unfamiliar with this parameter you should refer to Section 3.3 in the Essential Introduction for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value $- 1 or 1$ is recommended. If the output of error messages is undesirable, then the value $1$ is recommended. Otherwise, if you are not familiar with this parameter, the recommended value is $0$ . When the value $- 1 or 1$ is used it is essential to test the value of IFAIL on exit.

On exit: $IFAIL = 0$ unless the routine detects an error or a warning has been flagged (see Section 6).

6 Error Indicators and Warnings

If on entry

IFAIL = 0

- 1

, explanatory error messages are output on the current error message unit (as defined by X04AAF).

Errors or warnings detected by the routine:

$IFAIL = 1$

On entry,

N < 1

7 Accuracy

For

n \leq 2000

, the maximum error is

0.0001

, but G01DBF is usually accurate to

5

6

decimal places. For

n

up to

5000

, comparison with the exact scores calculated by G01DAF shows that the maximum error is

0.001

8 Further Comments

The time taken by G01DBF is proportional to

n

9 Example

A program to calculate the expected values of the order statistics for a sample of size

10

NAG Library Routine DocumentG01DBF