File: t_DistFunc_beta.expout

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pBeta( 0.2 ,  0.2 ,  0.1 )=0.33669 , complementary=0.66331
pBeta( 0.2 ,  0.2 ,  0.3 )=0.433204 , complementary=0.566796
pBeta( 0.2 ,  0.2 ,  0.5 )=0.5 , complementary=0.5
pBeta( 0.2 ,  0.2 ,  0.7 )=0.566796 , complementary=0.433204
pBeta( 0.2 ,  0.2 ,  0.9 )=0.66331 , complementary=0.33669
pBeta( 0.2 ,  1.4 ,  0.1 )=0.687341 , complementary=0.312659
pBeta( 0.2 ,  1.4 ,  0.3 )=0.843889 , complementary=0.156111
pBeta( 0.2 ,  1.4 ,  0.5 )=0.91974 , complementary=0.0802601
pBeta( 0.2 ,  1.4 ,  0.7 )=0.9659 , complementary=0.0340998
pBeta( 0.2 ,  1.4 ,  0.9 )=0.993451 , complementary=0.0065488
pBeta( 0.2 ,  2.6 ,  0.1 )=0.78472 , complementary=0.21528
pBeta( 0.2 ,  2.6 ,  0.3 )=0.927628 , complementary=0.0723715
pBeta( 0.2 ,  2.6 ,  0.5 )=0.976392 , complementary=0.0236082
pBeta( 0.2 ,  2.6 ,  0.7 )=0.994757 , complementary=0.00524303
pBeta( 0.2 ,  2.6 ,  0.9 )=0.999738 , complementary=0.000262128
pBeta( 0.2 ,  3.8 ,  0.1 )=0.839339 , complementary=0.160661
pBeta( 0.2 ,  3.8 ,  0.3 )=0.96231 , complementary=0.03769
pBeta( 0.2 ,  3.8 ,  0.5 )=0.992027 , complementary=0.00797294
pBeta( 0.2 ,  3.8 ,  0.7 )=0.999059 , complementary=0.000940783
pBeta( 0.2 ,  3.8 ,  0.9 )=0.999988 , complementary=1.24072e-05
pBeta( 0.2 ,  5.0 ,  0.1 )=0.875479 , complementary=0.124521
pBeta( 0.2 ,  5.0 ,  0.3 )=0.979271 , complementary=0.0207289
pBeta( 0.2 ,  5.0 ,  0.5 )=0.997129 , complementary=0.00287138
pBeta( 0.2 ,  5.0 ,  0.7 )=0.999819 , complementary=0.00018128
pBeta( 0.2 ,  5.0 ,  0.9 )=0.999999 , complementary=6.34097e-07
pBeta( 1.4 ,  0.2 ,  0.1 )=0.0065488 , complementary=0.993451
pBeta( 1.4 ,  0.2 ,  0.3 )=0.0340998 , complementary=0.9659
pBeta( 1.4 ,  0.2 ,  0.5 )=0.0802601 , complementary=0.91974
pBeta( 1.4 ,  0.2 ,  0.7 )=0.156111 , complementary=0.843889
pBeta( 1.4 ,  0.2 ,  0.9 )=0.312659 , complementary=0.687341
pBeta( 1.4 ,  1.4 ,  0.1 )=0.0591132 , complementary=0.940887
pBeta( 1.4 ,  1.4 ,  0.3 )=0.260754 , complementary=0.739246
pBeta( 1.4 ,  1.4 ,  0.5 )=0.5 , complementary=0.5
pBeta( 1.4 ,  1.4 ,  0.7 )=0.739246 , complementary=0.260754
pBeta( 1.4 ,  1.4 ,  0.9 )=0.940887 , complementary=0.0591132
pBeta( 1.4 ,  2.6 ,  0.1 )=0.122223 , complementary=0.877777
pBeta( 1.4 ,  2.6 ,  0.3 )=0.462386 , complementary=0.537614
pBeta( 1.4 ,  2.6 ,  0.5 )=0.749929 , complementary=0.250071
pBeta( 1.4 ,  2.6 ,  0.7 )=0.927944 , complementary=0.0720564
pBeta( 1.4 ,  2.6 ,  0.9 )=0.995565 , complementary=0.0044346
pBeta( 1.4 ,  3.8 ,  0.1 )=0.188357 , complementary=0.811643
pBeta( 1.4 ,  3.8 ,  0.3 )=0.61876 , complementary=0.38124
pBeta( 1.4 ,  3.8 ,  0.5 )=0.879463 , complementary=0.120537
pBeta( 1.4 ,  3.8 ,  0.7 )=0.980978 , complementary=0.0190224
pBeta( 1.4 ,  3.8 ,  0.9 )=0.999684 , complementary=0.000315635
pBeta( 1.4 ,  5.0 ,  0.1 )=0.25411 , complementary=0.74589
pBeta( 1.4 ,  5.0 ,  0.3 )=0.733788 , complementary=0.266212
pBeta( 1.4 ,  5.0 ,  0.5 )=0.943117 , complementary=0.0568833
pBeta( 1.4 ,  5.0 ,  0.7 )=0.995103 , complementary=0.00489727
pBeta( 1.4 ,  5.0 ,  0.9 )=0.999978 , complementary=2.18452e-05
pBeta( 2.6 ,  0.2 ,  0.1 )=0.000262128 , complementary=0.999738
pBeta( 2.6 ,  0.2 ,  0.3 )=0.00524303 , complementary=0.994757
pBeta( 2.6 ,  0.2 ,  0.5 )=0.0236082 , complementary=0.976392
pBeta( 2.6 ,  0.2 ,  0.7 )=0.0723715 , complementary=0.927628
pBeta( 2.6 ,  0.2 ,  0.9 )=0.21528 , complementary=0.78472
pBeta( 2.6 ,  1.4 ,  0.1 )=0.0044346 , complementary=0.995565
pBeta( 2.6 ,  1.4 ,  0.3 )=0.0720564 , complementary=0.927944
pBeta( 2.6 ,  1.4 ,  0.5 )=0.250071 , complementary=0.749929
pBeta( 2.6 ,  1.4 ,  0.7 )=0.537614 , complementary=0.462386
pBeta( 2.6 ,  1.4 ,  0.9 )=0.877777 , complementary=0.122223
pBeta( 2.6 ,  2.6 ,  0.1 )=0.0136623 , complementary=0.986338
pBeta( 2.6 ,  2.6 ,  0.3 )=0.181828 , complementary=0.818172
pBeta( 2.6 ,  2.6 ,  0.5 )=0.5 , complementary=0.5
pBeta( 2.6 ,  2.6 ,  0.7 )=0.818172 , complementary=0.181828
pBeta( 2.6 ,  2.6 ,  0.9 )=0.986338 , complementary=0.0136623
pBeta( 2.6 ,  3.8 ,  0.1 )=0.0281425 , complementary=0.971858
pBeta( 2.6 ,  3.8 ,  0.3 )=0.309445 , complementary=0.690555
pBeta( 2.6 ,  3.8 ,  0.5 )=0.694462 , complementary=0.305538
pBeta( 2.6 ,  3.8 ,  0.7 )=0.936802 , complementary=0.0631984
pBeta( 2.6 ,  3.8 ,  0.9 )=0.998688 , complementary=0.00131193
pBeta( 2.6 ,  5.0 ,  0.1 )=0.0476092 , complementary=0.952391
pBeta( 2.6 ,  5.0 ,  0.3 )=0.436453 , complementary=0.563547
pBeta( 2.6 ,  5.0 ,  0.5 )=0.823851 , complementary=0.176149
pBeta( 2.6 ,  5.0 ,  0.7 )=0.979632 , complementary=0.0203678
pBeta( 2.6 ,  5.0 ,  0.9 )=0.999885 , complementary=0.000115391
pBeta( 3.8 ,  0.2 ,  0.1 )=1.24072e-05 , complementary=0.999988
pBeta( 3.8 ,  0.2 ,  0.3 )=0.000940783 , complementary=0.999059
pBeta( 3.8 ,  0.2 ,  0.5 )=0.00797294 , complementary=0.992027
pBeta( 3.8 ,  0.2 ,  0.7 )=0.03769 , complementary=0.96231
pBeta( 3.8 ,  0.2 ,  0.9 )=0.160661 , complementary=0.839339
pBeta( 3.8 ,  1.4 ,  0.1 )=0.000315635 , complementary=0.999684
pBeta( 3.8 ,  1.4 ,  0.3 )=0.0190224 , complementary=0.980978
pBeta( 3.8 ,  1.4 ,  0.5 )=0.120537 , complementary=0.879463
pBeta( 3.8 ,  1.4 ,  0.7 )=0.38124 , complementary=0.61876
pBeta( 3.8 ,  1.4 ,  0.9 )=0.811643 , complementary=0.188357
pBeta( 3.8 ,  2.6 ,  0.1 )=0.00131193 , complementary=0.998688
pBeta( 3.8 ,  2.6 ,  0.3 )=0.0631984 , complementary=0.936802
pBeta( 3.8 ,  2.6 ,  0.5 )=0.305538 , complementary=0.694462
pBeta( 3.8 ,  2.6 ,  0.7 )=0.690555 , complementary=0.309445
pBeta( 3.8 ,  2.6 ,  0.9 )=0.971858 , complementary=0.0281425
pBeta( 3.8 ,  3.8 ,  0.1 )=0.00342106 , complementary=0.996579
pBeta( 3.8 ,  3.8 ,  0.3 )=0.132524 , complementary=0.867476
pBeta( 3.8 ,  3.8 ,  0.5 )=0.5 , complementary=0.5
pBeta( 3.8 ,  3.8 ,  0.7 )=0.867476 , complementary=0.132524
pBeta( 3.8 ,  3.8 ,  0.9 )=0.996579 , complementary=0.00342106
pBeta( 3.8 ,  5.0 ,  0.1 )=0.00702538 , complementary=0.992975
pBeta( 3.8 ,  5.0 ,  0.3 )=0.22026 , complementary=0.77974
pBeta( 3.8 ,  5.0 ,  0.5 )=0.664623 , complementary=0.335377
pBeta( 3.8 ,  5.0 ,  0.7 )=0.948811 , complementary=0.0511887
pBeta( 3.8 ,  5.0 ,  0.9 )=0.999633 , complementary=0.000366713
pBeta( 5.0 ,  0.2 ,  0.1 )=6.34097e-07 , complementary=0.999999
pBeta( 5.0 ,  0.2 ,  0.3 )=0.00018128 , complementary=0.999819
pBeta( 5.0 ,  0.2 ,  0.5 )=0.00287138 , complementary=0.997129
pBeta( 5.0 ,  0.2 ,  0.7 )=0.0207289 , complementary=0.979271
pBeta( 5.0 ,  0.2 ,  0.9 )=0.124521 , complementary=0.875479
pBeta( 5.0 ,  1.4 ,  0.1 )=2.18452e-05 , complementary=0.999978
pBeta( 5.0 ,  1.4 ,  0.3 )=0.00489727 , complementary=0.995103
pBeta( 5.0 ,  1.4 ,  0.5 )=0.0568833 , complementary=0.943117
pBeta( 5.0 ,  1.4 ,  0.7 )=0.266212 , complementary=0.733788
pBeta( 5.0 ,  1.4 ,  0.9 )=0.74589 , complementary=0.25411
pBeta( 5.0 ,  2.6 ,  0.1 )=0.000115391 , complementary=0.999885
pBeta( 5.0 ,  2.6 ,  0.3 )=0.0203678 , complementary=0.979632
pBeta( 5.0 ,  2.6 ,  0.5 )=0.176149 , complementary=0.823851
pBeta( 5.0 ,  2.6 ,  0.7 )=0.563547 , complementary=0.436453
pBeta( 5.0 ,  2.6 ,  0.9 )=0.952391 , complementary=0.0476092
pBeta( 5.0 ,  3.8 ,  0.1 )=0.000366713 , complementary=0.999633
pBeta( 5.0 ,  3.8 ,  0.3 )=0.0511887 , complementary=0.948811
pBeta( 5.0 ,  3.8 ,  0.5 )=0.335377 , complementary=0.664623
pBeta( 5.0 ,  3.8 ,  0.7 )=0.77974 , complementary=0.22026
pBeta( 5.0 ,  3.8 ,  0.9 )=0.992975 , complementary=0.00702538
pBeta( 5.0 ,  5.0 ,  0.1 )=0.00089092 , complementary=0.999109
pBeta( 5.0 ,  5.0 ,  0.3 )=0.0988087 , complementary=0.901191
pBeta( 5.0 ,  5.0 ,  0.5 )=0.5 , complementary=0.5
pBeta( 5.0 ,  5.0 ,  0.7 )=0.901191 , complementary=0.0988087
pBeta( 5.0 ,  5.0 ,  0.9 )=0.999109 , complementary=0.00089092
qBeta( 0.2 ,  0.2 ,  0.1 )=0.000247765 , complementary=0.999752
qBeta( 0.2 ,  0.2 ,  0.3 )=0.0578806 , complementary=0.942119
qBeta( 0.2 ,  0.2 ,  0.5 )=0.5 , complementary=0.5
qBeta( 0.2 ,  0.2 ,  0.7 )=0.942119 , complementary=0.0578806
qBeta( 0.2 ,  0.2 ,  0.9 )=0.999752 , complementary=0.000247765
qBeta( 0.2 ,  1.4 ,  0.1 )=6.30039e-06 , complementary=0.436917
qBeta( 0.2 ,  1.4 ,  0.3 )=0.00153177 , complementary=0.109934
qBeta( 0.2 ,  1.4 ,  0.5 )=0.0198197 , complementary=0.0198197
qBeta( 0.2 ,  1.4 ,  0.7 )=0.109934 , complementary=0.00153177
qBeta( 0.2 ,  1.4 ,  0.9 )=0.436917 , complementary=6.30039e-06
qBeta( 0.2 ,  2.6 ,  0.1 )=2.94251e-06 , complementary=0.237904
qBeta( 0.2 ,  2.6 ,  0.3 )=0.00071571 , complementary=0.0530747
qBeta( 0.2 ,  2.6 ,  0.5 )=0.00931014 , complementary=0.00931014
qBeta( 0.2 ,  2.6 ,  0.7 )=0.0530747 , complementary=0.00071571
qBeta( 0.2 ,  2.6 ,  0.9 )=0.237904 , complementary=2.94251e-06
qBeta( 0.2 ,  3.8 ,  0.1 )=1.91273e-06 , complementary=0.162223
qBeta( 0.2 ,  3.8 ,  0.3 )=0.000465297 , complementary=0.0348444
qBeta( 0.2 ,  3.8 ,  0.5 )=0.00606228 , complementary=0.00606228
qBeta( 0.2 ,  3.8 ,  0.7 )=0.0348444 , complementary=0.000465297
qBeta( 0.2 ,  3.8 ,  0.9 )=0.162223 , complementary=1.91273e-06
qBeta( 0.2 ,  5.0 ,  0.1 )=1.41593e-06 , complementary=0.122897
qBeta( 0.2 ,  5.0 ,  0.3 )=0.000344465 , complementary=0.0259165
qBeta( 0.2 ,  5.0 ,  0.5 )=0.00449136 , complementary=0.00449136
qBeta( 0.2 ,  5.0 ,  0.7 )=0.0259165 , complementary=0.000344465
qBeta( 0.2 ,  5.0 ,  0.9 )=0.122897 , complementary=1.41593e-06
qBeta( 1.4 ,  0.2 ,  0.1 )=0.563083 , complementary=0.999994
qBeta( 1.4 ,  0.2 ,  0.3 )=0.890066 , complementary=0.998468
qBeta( 1.4 ,  0.2 ,  0.5 )=0.98018 , complementary=0.98018
qBeta( 1.4 ,  0.2 ,  0.7 )=0.998468 , complementary=0.890066
qBeta( 1.4 ,  0.2 ,  0.9 )=0.999994 , complementary=0.563083
qBeta( 1.4 ,  1.4 ,  0.1 )=0.146816 , complementary=0.853184
qBeta( 1.4 ,  1.4 ,  0.3 )=0.333994 , complementary=0.666006
qBeta( 1.4 ,  1.4 ,  0.5 )=0.5 , complementary=0.5
qBeta( 1.4 ,  1.4 ,  0.7 )=0.666006 , complementary=0.333994
qBeta( 1.4 ,  1.4 ,  0.9 )=0.853184 , complementary=0.146816
qBeta( 1.4 ,  2.6 ,  0.1 )=0.085789 , complementary=0.657564
qBeta( 1.4 ,  2.6 ,  0.3 )=0.204845 , complementary=0.4597
qBeta( 1.4 ,  2.6 ,  0.5 )=0.323041 , complementary=0.323041
qBeta( 1.4 ,  2.6 ,  0.7 )=0.4597 , complementary=0.204845
qBeta( 1.4 ,  2.6 ,  0.9 )=0.657564 , complementary=0.085789
qBeta( 1.4 ,  3.8 ,  0.1 )=0.0606869 , complementary=0.525681
qBeta( 1.4 ,  3.8 ,  0.3 )=0.147795 , complementary=0.348865
qBeta( 1.4 ,  3.8 ,  0.5 )=0.238204 , complementary=0.238204
qBeta( 1.4 ,  3.8 ,  0.7 )=0.348865 , complementary=0.147795
qBeta( 1.4 ,  3.8 ,  0.9 )=0.525681 , complementary=0.0606869
qBeta( 1.4 ,  5.0 ,  0.1 )=0.046966 , complementary=0.435859
qBeta( 1.4 ,  5.0 ,  0.3 )=0.115615 , complementary=0.280684
qBeta( 1.4 ,  5.0 ,  0.5 )=0.188589 , complementary=0.188589
qBeta( 1.4 ,  5.0 ,  0.7 )=0.280684 , complementary=0.115615
qBeta( 1.4 ,  5.0 ,  0.9 )=0.435859 , complementary=0.046966
qBeta( 2.6 ,  0.2 ,  0.1 )=0.762096 , complementary=0.999997
qBeta( 2.6 ,  0.2 ,  0.3 )=0.946925 , complementary=0.999284
qBeta( 2.6 ,  0.2 ,  0.5 )=0.99069 , complementary=0.99069
qBeta( 2.6 ,  0.2 ,  0.7 )=0.999284 , complementary=0.946925
qBeta( 2.6 ,  0.2 ,  0.9 )=0.999997 , complementary=0.762096
qBeta( 2.6 ,  1.4 ,  0.1 )=0.342436 , complementary=0.914211
qBeta( 2.6 ,  1.4 ,  0.3 )=0.5403 , complementary=0.795155
qBeta( 2.6 ,  1.4 ,  0.5 )=0.676959 , complementary=0.676959
qBeta( 2.6 ,  1.4 ,  0.7 )=0.795155 , complementary=0.5403
qBeta( 2.6 ,  1.4 ,  0.9 )=0.914211 , complementary=0.342436
qBeta( 2.6 ,  2.6 ,  0.1 )=0.22943 , complementary=0.77057
qBeta( 2.6 ,  2.6 ,  0.3 )=0.381151 , complementary=0.618849
qBeta( 2.6 ,  2.6 ,  0.5 )=0.5 , complementary=0.5
qBeta( 2.6 ,  2.6 ,  0.7 )=0.618849 , complementary=0.381151
qBeta( 2.6 ,  2.6 ,  0.9 )=0.77057 , complementary=0.22943
qBeta( 2.6 ,  3.8 ,  0.1 )=0.173278 , complementary=0.654633
qBeta( 2.6 ,  3.8 ,  0.3 )=0.295079 , complementary=0.503271
qBeta( 2.6 ,  3.8 ,  0.5 )=0.39593 , complementary=0.39593
qBeta( 2.6 ,  3.8 ,  0.7 )=0.503271 , complementary=0.295079
qBeta( 2.6 ,  3.8 ,  0.9 )=0.654633 , complementary=0.173278
qBeta( 2.6 ,  5.0 ,  0.1 )=0.139386 , complementary=0.565998
qBeta( 2.6 ,  5.0 ,  0.3 )=0.240882 , complementary=0.423301
qBeta( 2.6 ,  5.0 ,  0.5 )=0.327633 , complementary=0.327633
qBeta( 2.6 ,  5.0 ,  0.7 )=0.423301 , complementary=0.240882
qBeta( 2.6 ,  5.0 ,  0.9 )=0.565998 , complementary=0.139386
qBeta( 3.8 ,  0.2 ,  0.1 )=0.837777 , complementary=0.999998
qBeta( 3.8 ,  0.2 ,  0.3 )=0.965156 , complementary=0.999535
qBeta( 3.8 ,  0.2 ,  0.5 )=0.993938 , complementary=0.993938
qBeta( 3.8 ,  0.2 ,  0.7 )=0.999535 , complementary=0.965156
qBeta( 3.8 ,  0.2 ,  0.9 )=0.999998 , complementary=0.837777
qBeta( 3.8 ,  1.4 ,  0.1 )=0.474319 , complementary=0.939313
qBeta( 3.8 ,  1.4 ,  0.3 )=0.651135 , complementary=0.852205
qBeta( 3.8 ,  1.4 ,  0.5 )=0.761796 , complementary=0.761796
qBeta( 3.8 ,  1.4 ,  0.7 )=0.852205 , complementary=0.651135
qBeta( 3.8 ,  1.4 ,  0.9 )=0.939313 , complementary=0.474319
qBeta( 3.8 ,  2.6 ,  0.1 )=0.345367 , complementary=0.826722
qBeta( 3.8 ,  2.6 ,  0.3 )=0.496729 , complementary=0.704921
qBeta( 3.8 ,  2.6 ,  0.5 )=0.60407 , complementary=0.60407
qBeta( 3.8 ,  2.6 ,  0.7 )=0.704921 , complementary=0.496729
qBeta( 3.8 ,  2.6 ,  0.9 )=0.826722 , complementary=0.345367
qBeta( 3.8 ,  3.8 ,  0.1 )=0.273162 , complementary=0.726838
qBeta( 3.8 ,  3.8 ,  0.3 )=0.402671 , complementary=0.597329
qBeta( 3.8 ,  3.8 ,  0.5 )=0.5 , complementary=0.5
qBeta( 3.8 ,  3.8 ,  0.7 )=0.597329 , complementary=0.402671
qBeta( 3.8 ,  3.8 ,  0.9 )=0.726838 , complementary=0.273162
qBeta( 3.8 ,  5.0 ,  0.1 )=0.226355 , complementary=0.645024
qBeta( 3.8 ,  5.0 ,  0.3 )=0.338889 , complementary=0.517235
qBeta( 3.8 ,  5.0 ,  0.5 )=0.426431 , complementary=0.426431
qBeta( 3.8 ,  5.0 ,  0.7 )=0.517235 , complementary=0.338889
qBeta( 3.8 ,  5.0 ,  0.9 )=0.645024 , complementary=0.226355
qBeta( 5.0 ,  0.2 ,  0.1 )=0.877103 , complementary=0.999999
qBeta( 5.0 ,  0.2 ,  0.3 )=0.974083 , complementary=0.999656
qBeta( 5.0 ,  0.2 ,  0.5 )=0.995509 , complementary=0.995509
qBeta( 5.0 ,  0.2 ,  0.7 )=0.999656 , complementary=0.974083
qBeta( 5.0 ,  0.2 ,  0.9 )=0.999999 , complementary=0.877103
qBeta( 5.0 ,  1.4 ,  0.1 )=0.564141 , complementary=0.953034
qBeta( 5.0 ,  1.4 ,  0.3 )=0.719316 , complementary=0.884385
qBeta( 5.0 ,  1.4 ,  0.5 )=0.811411 , complementary=0.811411
qBeta( 5.0 ,  1.4 ,  0.7 )=0.884385 , complementary=0.719316
qBeta( 5.0 ,  1.4 ,  0.9 )=0.953034 , complementary=0.564141
qBeta( 5.0 ,  2.6 ,  0.1 )=0.434002 , complementary=0.860614
qBeta( 5.0 ,  2.6 ,  0.3 )=0.576699 , complementary=0.759118
qBeta( 5.0 ,  2.6 ,  0.5 )=0.672367 , complementary=0.672367
qBeta( 5.0 ,  2.6 ,  0.7 )=0.759118 , complementary=0.576699
qBeta( 5.0 ,  2.6 ,  0.9 )=0.860614 , complementary=0.434002
qBeta( 5.0 ,  3.8 ,  0.1 )=0.354976 , complementary=0.773645
qBeta( 5.0 ,  3.8 ,  0.3 )=0.482765 , complementary=0.661111
qBeta( 5.0 ,  3.8 ,  0.5 )=0.573569 , complementary=0.573569
qBeta( 5.0 ,  3.8 ,  0.7 )=0.661111 , complementary=0.482765
qBeta( 5.0 ,  3.8 ,  0.9 )=0.773645 , complementary=0.354976
qBeta( 5.0 ,  5.0 ,  0.1 )=0.300969 , complementary=0.699031
qBeta( 5.0 ,  5.0 ,  0.3 )=0.415605 , complementary=0.584395
qBeta( 5.0 ,  5.0 ,  0.5 )=0.5 , complementary=0.5
qBeta( 5.0 ,  5.0 ,  0.7 )=0.584395 , complementary=0.415605
qBeta( 5.0 ,  5.0 ,  0.9 )=0.699031 , complementary=0.300969
rBeta( 0.2 ,  0.2 )=0.156052
rBeta( 0.2 ,  0.2 )=0.9992
rBeta( 0.2 ,  0.2 )=0.00584644
rBeta( 0.2 ,  0.2 )=0.953567
rBeta( 0.2 ,  0.2 )=0.000468873
rBeta( 0.2 ,  1.4 )=0.15554
rBeta( 0.2 ,  1.4 )=0.00609813
rBeta( 0.2 ,  1.4 )=0.450018
rBeta( 0.2 ,  1.4 )=0.599953
rBeta( 0.2 ,  1.4 )=0.125688
rBeta( 0.2 ,  2.6 )=0.00341746
rBeta( 0.2 ,  2.6 )=0.0400444
rBeta( 0.2 ,  2.6 )=2.63293e-06
rBeta( 0.2 ,  2.6 )=0.000233909
rBeta( 0.2 ,  2.6 )=5.06383e-09
rBeta( 0.2 ,  3.8 )=0.000615211
rBeta( 0.2 ,  3.8 )=0.0146319
rBeta( 0.2 ,  3.8 )=8.77919e-06
rBeta( 0.2 ,  3.8 )=0.0630611
rBeta( 0.2 ,  3.8 )=5.66773e-07
rBeta( 0.2 ,  5.0 )=0.000291087
rBeta( 0.2 ,  5.0 )=0.000244793
rBeta( 0.2 ,  5.0 )=0.033274
rBeta( 0.2 ,  5.0 )=0.00475718
rBeta( 0.2 ,  5.0 )=5.20763e-05
rBeta( 1.4 ,  0.2 )=0.999707
rBeta( 1.4 ,  0.2 )=0.986968
rBeta( 1.4 ,  0.2 )=1
rBeta( 1.4 ,  0.2 )=0.999096
rBeta( 1.4 ,  0.2 )=0.999884
rBeta( 1.4 ,  1.4 )=0.485624
rBeta( 1.4 ,  1.4 )=0.933502
rBeta( 1.4 ,  1.4 )=0.782887
rBeta( 1.4 ,  1.4 )=0.242806
rBeta( 1.4 ,  1.4 )=0.893764
rBeta( 1.4 ,  2.6 )=0.426686
rBeta( 1.4 ,  2.6 )=0.0736164
rBeta( 1.4 ,  2.6 )=0.489684
rBeta( 1.4 ,  2.6 )=0.295115
rBeta( 1.4 ,  2.6 )=0.612222
rBeta( 1.4 ,  3.8 )=0.175646
rBeta( 1.4 ,  3.8 )=0.280007
rBeta( 1.4 ,  3.8 )=0.27002
rBeta( 1.4 ,  3.8 )=0.325441
rBeta( 1.4 ,  3.8 )=0.424636
rBeta( 1.4 ,  5.0 )=0.475496
rBeta( 1.4 ,  5.0 )=0.312055
rBeta( 1.4 ,  5.0 )=0.367104
rBeta( 1.4 ,  5.0 )=0.122461
rBeta( 1.4 ,  5.0 )=0.231872
rBeta( 2.6 ,  0.2 )=0.999486
rBeta( 2.6 ,  0.2 )=0.983949
rBeta( 2.6 ,  0.2 )=0.999979
rBeta( 2.6 ,  0.2 )=0.999994
rBeta( 2.6 ,  0.2 )=0.994164
rBeta( 2.6 ,  1.4 )=0.718897
rBeta( 2.6 ,  1.4 )=0.900546
rBeta( 2.6 ,  1.4 )=0.896262
rBeta( 2.6 ,  1.4 )=0.751736
rBeta( 2.6 ,  1.4 )=0.882997
rBeta( 2.6 ,  2.6 )=0.518813
rBeta( 2.6 ,  2.6 )=0.332689
rBeta( 2.6 ,  2.6 )=0.779803
rBeta( 2.6 ,  2.6 )=0.728029
rBeta( 2.6 ,  2.6 )=0.154406
rBeta( 2.6 ,  3.8 )=0.324814
rBeta( 2.6 ,  3.8 )=0.402559
rBeta( 2.6 ,  3.8 )=0.544642
rBeta( 2.6 ,  3.8 )=0.438609
rBeta( 2.6 ,  3.8 )=0.321803
rBeta( 2.6 ,  5.0 )=0.403027
rBeta( 2.6 ,  5.0 )=0.283523
rBeta( 2.6 ,  5.0 )=0.375099
rBeta( 2.6 ,  5.0 )=0.435297
rBeta( 2.6 ,  5.0 )=0.314206
rBeta( 3.8 ,  0.2 )=0.765236
rBeta( 3.8 ,  0.2 )=1
rBeta( 3.8 ,  0.2 )=0.771142
rBeta( 3.8 ,  0.2 )=0.998233
rBeta( 3.8 ,  0.2 )=0.975034
rBeta( 3.8 ,  1.4 )=0.402612
rBeta( 3.8 ,  1.4 )=0.514468
rBeta( 3.8 ,  1.4 )=0.741919
rBeta( 3.8 ,  1.4 )=0.646984
rBeta( 3.8 ,  1.4 )=0.663609
rBeta( 3.8 ,  2.6 )=0.801286
rBeta( 3.8 ,  2.6 )=0.744747
rBeta( 3.8 ,  2.6 )=0.653823
rBeta( 3.8 ,  2.6 )=0.74085
rBeta( 3.8 ,  2.6 )=0.813882
rBeta( 3.8 ,  3.8 )=0.512431
rBeta( 3.8 ,  3.8 )=0.908579
rBeta( 3.8 ,  3.8 )=0.350713
rBeta( 3.8 ,  3.8 )=0.317657
rBeta( 3.8 ,  3.8 )=0.340499
rBeta( 3.8 ,  5.0 )=0.505419
rBeta( 3.8 ,  5.0 )=0.192688
rBeta( 3.8 ,  5.0 )=0.434283
rBeta( 3.8 ,  5.0 )=0.26326
rBeta( 3.8 ,  5.0 )=0.633409
rBeta( 5.0 ,  0.2 )=0.999251
rBeta( 5.0 ,  0.2 )=0.971178
rBeta( 5.0 ,  0.2 )=0.832947
rBeta( 5.0 ,  0.2 )=0.995765
rBeta( 5.0 ,  0.2 )=0.999984
rBeta( 5.0 ,  1.4 )=0.590906
rBeta( 5.0 ,  1.4 )=0.847716
rBeta( 5.0 ,  1.4 )=0.881434
rBeta( 5.0 ,  1.4 )=0.853464
rBeta( 5.0 ,  1.4 )=0.683562
rBeta( 5.0 ,  2.6 )=0.540083
rBeta( 5.0 ,  2.6 )=0.94074
rBeta( 5.0 ,  2.6 )=0.690156
rBeta( 5.0 ,  2.6 )=0.597546
rBeta( 5.0 ,  2.6 )=0.399028
rBeta( 5.0 ,  3.8 )=0.318358
rBeta( 5.0 ,  3.8 )=0.268051
rBeta( 5.0 ,  3.8 )=0.462067
rBeta( 5.0 ,  3.8 )=0.634355
rBeta( 5.0 ,  3.8 )=0.341872
rBeta( 5.0 ,  5.0 )=0.362547
rBeta( 5.0 ,  5.0 )=0.787532
rBeta( 5.0 ,  5.0 )=0.2502
rBeta( 5.0 ,  5.0 )=0.20747
rBeta( 5.0 ,  5.0 )=0.70176