logistic (alpha = 0.3, xi = 0.1)
> p.bias
     MEAN      MODE      PRED       UPPER
[1,] 0.0418258 0.0501278 0.0426064 -0.0040158	r=10
[2,] 0.0308350 0.0398852 0.0302174  0.0014056	r=50	
[3,] 0.0189368 0.0268776 0.0165354  0.0014304	r=200
[4,] 0.0107112 0.0173344 0.0071386  0.0010262	r=1000
[5,] 0.0053850 0.0108852 0.0018716  0.0005542	r=10000

> s.d.
            [,1]       [,2]        [,3]        [,4]
[1,] 0.08497916 0.09012639 0.085387207 0.061408244
[2,] 0.05016551 0.05801554 0.049127131 0.025881461
[3,] 0.03334178 0.04196477 0.029813237 0.013239871
[4,] 0.02323906 0.03172923 0.016649316 0.007450707
[5,] 0.01662763 0.02560182 0.007196046 0.004585575


logistic (alpha = 0.5, xi = 0.1)
> p.bias
     MEAN      MODE      PRED       UPPER
[1,] 0.0286514 0.0459518 0.0294684 -0.0365564	r=10
[2,] 0.0222038 0.0363990 0.0201408 -0.0079538	r=50
[3,] 0.0140196 0.0247400 0.0104214 -0.0012852	r=200
[4,] 0.0082442 0.0161724 0.0043738  0.0002468	r=1000
[5,] 0.0042834 0.0103504 0.0011128  0.0002914	r=10000

> s.d.
           [,1]       [,2]       [,3]        [,4]
[1,] 0.08387061 0.09185982 0.08392611 0.052506964
[2,] 0.04845666 0.05922614 0.04599383 0.020252910
[3,] 0.03196005 0.04312918 0.02630168 0.009746610
[4,] 0.02182156 0.03291221 0.01331721 0.004860508
[5,] 0.01473580 0.02635724 0.00472356 0.002344111


AR(1) (A = 0.5, xi = -0.4, u = 0.90)
> p.bias
     MEAN      MODE      PRED      UPPER
[1,] 0.0310110 0.0714090 0.0245493 -0.0792794   r=10
[2,] 0.0210806 0.0495558 0.0081277 -0.0170726   r=50
[3,] 0.0170384 0.0378229 0.0025877 -0.0037027   r=200
[4,] 0.0139646 0.0306318 0.0008246 -0.0001559   r=1000
[5,] 0.0117085 0.0260631 0.0002640  0.0005597   r=10000

> s.d. 
           [,1]       [,2]        [,3]        [,4]
[1,] 0.08947400 0.09764293 0.088137314 0.041690623
[2,] 0.05834430 0.07354829 0.048953536 0.017473316
[3,] 0.04521830 0.06100813 0.026963130 0.012493117
[4,] 0.03847355 0.05416176 0.014024689 0.010511764
[5,] 0.03493255 0.05055015 0.005746988 0.009407702