View source: R/distrib-pareto2-adtest.R
pareto2_test_ad | R Documentation |
Performs an approximate Anderson-Darling goodness-of-fit test, which verifies the null hypothesis: Data follow a Pareto-Type II distribution.
pareto2_test_ad(x, s = 1)
x |
a non-negative numeric vector of data values |
s |
the known scale parameter, |
We know that if X
follows a Pareto-Type II distribution
with shape parameter k
, then log(1+X/s)
follows an
exponential distribution with parameter k
.
Thus, this function transforms the input vector,
and performs the same steps as exp_test_ad
.
A list of the class htest
is returned,
see exp_test_ad
.
Other Pareto2:
pareto2_estimate_mle()
,
pareto2_estimate_mmse()
,
pareto2_test_f()
,
rpareto2()
Other Tests:
exp_test_ad()
,
pareto2_test_f()
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