Exact permutation test based on HL1-estimator
data: x[1:5] and y[1:5]
D = 1.2781, p-value = 0.03968
alternative hypothesis: true location shift is not equal to 0
sample estimates:
HL1 of x HL1 of y
-0.078854 -0.591195
Exact permutation test based on HL1-estimator
data: x[1:5] and y[1:5]
D = 0.6608, p-value = 0.2778
alternative hypothesis: true location shift is not equal to 0
sample estimates:
HL1 of x HL1 of y
-0.078854 -0.591195
Exact permutation test based on HL1-estimator
data: x[1:5] and y[1:5]
S = -1.5734, p-value = 0.04762
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
HL1 of log(x^2) HL1 of log(y^2)
-5.608304 -1.101272
Exact permutation test based on HL1-estimator
data: x[1:5] and y[1:5]
S = -1.5797, p-value = 0.05556
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
HL1 of log(x^2) HL1 of log(y^2)
-5.608304 -1.101272
Randomization test based on HL1-estimator (10000 random permutations)
data: x[1:10] and y[1:10]
D = 1.0304, p-value = 0.03849
alternative hypothesis: true location shift is not equal to 0
sample estimates:
HL1 of x HL1 of y
0.2384959 -0.4821587
Randomization test based on HL1-estimator (10000 random permutations)
data: x[1:10] and y[1:10]
D = 1.0061, p-value = 0.04679
alternative hypothesis: true location shift is not equal to 0
sample estimates:
HL1 of x HL1 of y
0.2384959 -0.4821587
Randomization test based on HL1-estimator (10000 random permutations)
data: x[1:10] and y[1:10]
S = -0.76149, p-value = 0.1127
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
HL1 of log(x^2) HL1 of log(y^2)
-3.421983 -1.242362
Randomization test based on HL1-estimator (10000 random permutations)
data: x[1:10] and y[1:10]
S = -0.77039, p-value = 0.1191
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
HL1 of log(x^2) HL1 of log(y^2)
-3.421983 -1.242362
Asymptotic test based on HL1-estimator
data: x and y
D = 1.6071, p-value = 0.108
alternative hypothesis: true location shift is not equal to 0
sample estimates:
HL1 of x HL1 of y
0.1062759 -0.2569555
Asymptotic test based on HL1-estimator
data: x and y
S = -0.95431, p-value = 0.3399
alternative hypothesis: true ratio of squared scale parameters is not equal to 1
sample estimates:
HL1 of log(x^2) HL1 of log(y^2)
-1.731838 -1.215280
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