ad.test(x, null = "punif", ..., nullname)
"uniform distribution"
."htest"
representing the result of
the hypothesis test.null
. It is assumed that the values in x
are
independent and identically distributed random values, with some
cumulative distribution function $F$.
The null hypothesis is that $F$ is the function
specified by the argument null
, while the alternative
hypothesis is that $F$ is some other function.Anderson, T.W. and Darling, D.A. (1954) A test of goodness of fit. Journal of the American Statistical Association 49, 765--769.
Marsaglia, G. and Marsaglia, J. (2004)
Evaluating the Anderson-Darling Distribution.
Journal of Statistical Software 9 (2), 1--5.
February 2004.
pAD
for the null distribution of the test statistic.x <- rnorm(10, mean=2, sd=1)
ad.test(x, "pnorm", mean=2, sd=1)
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