exp_test_ad {agop} | R Documentation |
Performs an approximate Anderson-Darling goodness-of-fit test, which verifies the null hypothesis: Data follow an exponential distribution.
exp_test_ad(x)
x |
a non-negative numeric vector of data values |
Sample size should be not less than 3. Missing values
are removed from x
before applying the procedure.
The p-value is approximate: its distribution has been estimated by taking 2500000 MC samples. For performance and space reasons, the estimated distribution is recreated by a spline interpolation on a fixed number of points. As a result, the resulting p-value distribution might not necessarily be uniform for p>>0.5.
A list of the class htest
is returned,
just like in many other testing methods,
see, e.g., ks.test
.
Anderson T.W., Darling D.A., A Test of Goodness-of-Fit, Journal of the American Statistical Association 49, 1954, pp. 765-769.
Other Tests:
pareto2_test_ad()
,
pareto2_test_f()