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Estimation time parameters continuous distributions

Distribution / Sample Size1K10K100K500K1M10M
alpha0.33450.46252.593318.385639.6533362.2951
arcsine0.00000.00000.00000.00000.00000.0000
argus0.05590.20502.247213.392841.5198362.2472
beta0.18800.17900.19400.21100.18000.3134
beta_prime0.17660.75067.603940.426485.0677812.1323
beta_prime_4p0.07200.36303.947820.270340.2709413.5239
bradford0.01100.00000.00000.00000.00000.0010
burr0.07330.69315.542536.768479.8269668.2016
burr_4p0.15520.79818.471644.454987.7292858.0035
cauchy0.00900.01600.15811.10522.109021.5244
chi_square0.00000.00000.00000.00000.00000.0000
chi_square_3p0.00000.00000.00000.00000.00000.0000
dagum0.33810.82789.690745.585598.6691917.6713
dagum_4p0.36461.330713.343770.9462140.93711396.3368
erlang0.00100.00000.00000.00000.00000.0000
erlang_3p0.00000.00000.00000.00000.00000.0000
error_function0.00000.00000.00000.00000.00000.0000
exponential0.00000.00000.00000.00000.00000.0000
exponential_2p0.00000.00000.00000.00000.00000.0000
f0.05920.29482.692018.945829.9547402.2248
fatigue_life0.03520.11011.70859.009020.4702186.9631
folded_normal0.00200.00200.00200.00220.00330.0040
frechet0.13130.43595.703139.420243.2469671.3343
f_4p0.32690.75170.61830.60370.58090.2073
gamma0.00000.00000.00000.00000.00000.0000
gamma_3p0.00000.00000.00000.00000.00000.0000
generalized_extreme_value0.08330.20542.033710.330122.1340243.3120
generalized_gamma0.02980.01780.02270.02360.01700.0241
generalized_gamma_4p0.03710.01160.07320.07250.07070.0730
generalized_logistic0.10400.10730.10370.08190.09890.0836
generalized_normal0.01540.07360.73672.48315.975255.2417
generalized_pareto0.31890.89788.937051.3813101.68321015.2933
gibrat0.03280.04320.42872.71595.572154.1702
gumbel_left0.00000.00000.00000.00000.00100.0010
gumbel_right0.00000.00000.00000.00000.00000.0000
half_normal0.00100.00000.00000.00100.00000.0000
hyperbolic_secant0.00000.00000.00000.00000.00000.0000
inverse_gamma0.03080.06320.72335.012710.788599.1316
inverse_gamma_3p0.07870.14721.651311.116123.4587227.6125
inverse_gaussian0.00000.00000.00000.00000.00000.0000
inverse_gaussian_3p0.00000.00000.00000.00000.00000.0000
johnson_sb0.29660.74664.070740.202856.2130728.2447
johnson_su0.00700.00100.00100.01430.00100.0010
kumaraswamy0.01640.01200.01300.01230.01250.0150
laplace0.00000.00000.00000.00000.00000.0000
levy0.01000.03140.22961.13652.721126.4966
loggamma0.00850.00500.00500.00700.00620.0080
logistic0.00000.00000.00000.00000.00000.0000
loglogistic0.00000.00000.00000.00000.00000.0000
loglogistic_3p0.00000.00000.00000.00000.00000.0000
lognormal0.00000.00000.00000.00000.00100.0000
maxwell0.00000.00000.00000.00000.00000.0010
moyal0.00000.00000.00000.00000.00000.0000
nakagami0.00000.00300.02130.12150.26492.2457
non_central_chi_square0.00000.00000.00000.00000.00000.0000
non_central_f0.01900.01820.02100.01920.01900.0200
non_central_t_student0.08740.08220.08620.13140.25160.1781
normal0.00000.00000.00000.00000.00000.0000
pareto_first_kind0.00100.00300.03900.24940.52265.5246
pareto_second_kind0.06430.15221.172210.987123.6534201.1626
pert0.00520.00300.00300.00400.00400.0092
power_function0.00750.00400.00400.00300.00400.0040
rayleigh0.00000.00000.00000.00000.00000.0000
reciprocal0.00000.00000.00000.00000.00000.0000
rice0.01820.00300.00400.00600.00300.0050
semicircular0.00000.00000.00000.00000.00000.0000
trapezoidal0.00830.00720.00730.00600.00700.0060
triangular0.00000.00000.00000.00000.00000.0000
t_student0.00000.00000.00000.00000.00000.0000
t_student_3p0.38921.186011.275971.1156143.19391409.8578
uniform0.00000.00000.00000.00000.00000.0000
weibull0.00100.00000.00000.00000.00100.0010
weibull_3p0.00610.00400.00300.00400.00500.0050