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distributions:
cauchy()
chi(2)
chi(4)
chi(6)
expon()
gumbel_r()
gumbel_l()
gumbel_l
halfcauchy()
halflogistic()
halfnorm()
laplace()
logistic()
norm()
rayleigh()
t(1)
t(2)
t(3)
t(4)
uniform()
1-parameter distribution families:
bernoulli(p=p)
fisk(c=alpha)
burr(c=alpha, d=1)
burr12(c=alpha, d=1)
genextreme(c=alpha)
genpareto(a=alpha)
gompertz(c=alpha)
kappa4(h=-1, k=alpha)
lomax(c=alpha)
burr12(c=1, d=alpha)
powerlaw(a=alpha)
tukeylambda(lam=lambda)
genlambda(b=lambda, d=lambda, f=0)
2-parameter distribution families:
burr(c=alpha, d=beta)
burr12(c=alpha, d=beta)
kumaraswamy(a=alpha, b=beta)
mielke(k=alpha * beta, s=alpha)
3-parameter distribution families:
genlambda(b=beta, d=delta, f=phi)
distributions.genlambda
wakeby(b=beta, d=delta, f=phi)
The text was updated successfully, but these errors were encountered:
scipy.stats.distributions
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distributions:
cauchy()
chi(2)
chi(4)
chi(6)
expon()
- Exact L-moments of several distributions #307gumbel_r()
- Exact L-moments of several distributions #307gumbel_l()
- exact L-moments forgumbel_l
#351halfcauchy()
halflogistic()
halfnorm()
laplace()
logistic()
- Exact L-moments of several distributions #307norm()
rayleigh()
t(1)
(equivcauchy()
)t(2)
t(3)
t(4)
uniform()
- Exact L-moments of several distributions #3071-parameter distribution families:
bernoulli(p=p)
fisk(c=alpha)
(equiv toburr(c=alpha, d=1)
andburr12(c=alpha, d=1)
)genextreme(c=alpha)
(GEV) - Exact L-moments of several distributions #307genpareto(a=alpha)
(GPD) - Exact L-moments of several distributions #307gompertz(c=alpha)
kappa4(h=-1, k=alpha)
(GLO)lomax(c=alpha)
(equiv toburr12(c=1, d=alpha)
)powerlaw(a=alpha)
tukeylambda(lam=lambda)
(equivgenlambda(b=lambda, d=lambda, f=0)
)2-parameter distribution families:
burr(c=alpha, d=beta)
burr12(c=alpha, d=beta)
kumaraswamy(a=alpha, b=beta)
- Kumaraswamy's distribution implementation #112mielke(k=alpha * beta, s=alpha)
3-parameter distribution families:
genlambda(b=beta, d=delta, f=phi)
(GLD) - Generalized Lambda distribution implementation:distributions.genlambda
#119wakeby(b=beta, d=delta, f=phi)
- Wakeby distribution implementation #114The text was updated successfully, but these errors were encountered: