ADNRM

Performs an Anderson‑Darling test for normality.

Required Arguments

X — Array of length NOBS containing the observations. (Input)

A — Anderson‑Darling statistic. (Output)

Pp‑value for a test of normality. (Output)

Optional Arguments

NOBS — Number of observations. (Input)
NOBS must be greater than or equal to 3.
Default: NOBS = size (X).

NMISS — Number of missing observations. (Output)

FORTRAN 90 Interface

Generic: CALL ADNRM (X, A, P [])

Specific: The specific interface names are S_ADNRM and D_ADNRM.

Description

Given a data sample {Xi, i=1 .. n}, where n = NOBS and Xi = X(I), routine ADNRM computes the Anderson‑Darling (AD) normality statistic A and the corresponding p‑value P = {probability that a normally distributed n element sample would have an AD statistic  > A}. If P is sufficiently small (e.g. P  < .05), then the AD test indicates that the null hypothesis that the data sample is normally‑distributed should be rejected. A is calculated as:

 

where and and s are the sample mean and standard deviation respectively. P is calculated by first transforming A to an “n‑adjusted” statistic A*:

 

and then calculating P in terms of A* using a parabolic approximation taken from Table 4.9 in Stephens (1986).

Comments

Informational errors

 

Type

Code

Description

3

1

The p‑value has fallen below the minimum value for which its calculation has any accuracy; zero is returned.

4

1

After removing the missing observations only n observations remain. The test cannot proceed.

Example

The following example is taken from Conover (1980, pages 364 and 195). The data consists of 50 two digit numbers taken from a telephone book. The AD test fails to reject the null hypothesis of normality at the .05 level of significance.

 

USE ADNRM_INT

USE UMACH_INT

IMPLICIT NONE

 

INTEGER, PARAMETER :: NOBS=50

INTEGER NMISS, NOUT

REAL P, A, X(NOBS)

 

DATA X/ 23, 36, 54, 61, 73, 23, 37, 54, 61, 73, 24, 40, 56, 62,&

74, 27, 42, 57, 63, 75, 29, 43, 57, 64, 77, 31, 43, 58, 65, &

81, 32, 44, 58, 66, 87, 33, 45, 58, 68, 89, 33, 48, 58, 68, &

93, 35, 48, 59, 70, 97/

 

CALL ADNRM (X, A, P, NMISS=NMISS)

 

! Write out results

CALL UMACH(2, NOUT)

WRITE(NOUT,5) A, P, NMISS

5 FORMAT(/ ' A = ', F6.4 / ' P = ', F6.4 / &

' NMISS = ',I3)

END

 

Output

 

A = 0.3339

P = 0.5024

NMISS = 0