View source: R/distrib-pareto2-ftest.R
| pareto2_test_f | R Documentation | 
Performs the F-test for the equality of shape parameters
of two samples from Pareto type-II distributions with known
and equal scale parameters, s>0.
pareto2_test_f(
  x,
  y,
  s,
  alternative = c("two.sided", "less", "greater"),
  significance = NULL
)
| x | a non-negative numeric vector | 
| y | a non-negative numeric vector | 
| s | the known scale parameter,  | 
| alternative | indicates the alternative hypothesis and must be one of
 | 
| significance | significance level,  | 
Given two samples (X_1,...,X_n) i.i.d. P2(k_x,s)
and (Y_1,...,Y_m) i.i.d. P2(k_y,s)
this test verifies the null hypothesis
H_0: k_x=k_y
against two-sided or one-sided alternatives, depending
on the value of alternative.
It is based on the test statistic
T(X,Y)=\frac{n\sum_{i=1}^m\log(1+Y_i/m)}{m\sum_{i=1}^n\log(1+X_i/n)}
which, under H_0, follows the Snedecor's F distribution with (2m, 2n)
degrees of freedom.
Note that for k_x < k_y, then X dominates Y stochastically.
If significance is not NULL, then
the list of class power.htest with the following components is yield in result:
statistic -	the value of the test statistic.
result -	either FALSE (accept null hypothesis) or TRUE (reject).
alternative -	a character string describing the alternative hypothesis.
method -	a character string indicating what type of test was performed.
data.name -	a character string giving the name(s) of the data.
Otherwise, the list of class htest with the following components is yield in result:
statistic 	the value of the test statistic.
p.value 	the p-value of the test.
alternative 	a character string describing the alternative hypothesis.
method 	a character string indicating what type of test was performed.
data.name 	a character string giving the name(s) of the data.
Other Pareto2: 
pareto2_estimate_mle(),
pareto2_estimate_mmse(),
pareto2_test_ad(),
rpareto2()
Other Tests: 
exp_test_ad(),
pareto2_test_ad()
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