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minor update
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lindahua committed Aug 2, 2015
1 parent c7ff270 commit 0439487
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Showing 3 changed files with 5 additions and 6 deletions.
3 changes: 1 addition & 2 deletions src/univariate/continuous/arcsine.jl
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ immutable Arcsine <: ContinuousUnivariateDistribution
b::Float64

function Arcsine(a::Float64, b::Float64)
a < b || error("a must be less than b.")
a < b || throw(ArgumentError("a must be less than b."))
new(a, b)
end

Expand Down Expand Up @@ -51,4 +51,3 @@ quantile(d::Arcsine, p::Float64) = location(d) + abs2(sin(halfπ * p)) * scale(d
### Sampling

rand(d::Arcsine) = quantile(d, rand())

4 changes: 2 additions & 2 deletions src/univariate/continuous/beta.jl
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,8 @@ immutable Beta <: ContinuousUnivariateDistribution
β::Float64

function Beta::Real, β::Real)
> zero(α) && β > zero(β)) || error("α and β must be positive")
> zero(α) && β > zero(β)) ||
throw(ArgumentError("α and β must be positive"))
@compat new(Float64(α), Float64(β))
end

Expand All @@ -13,7 +14,6 @@ end

@distr_support Beta 0.0 1.0


#### Parameters

params(d::Beta) = (d.α, d.β)
Expand Down
4 changes: 2 additions & 2 deletions test/dirichlet.jl
Original file line number Diff line number Diff line change
Expand Up @@ -73,5 +73,5 @@ x = x ./ sum(x, 1)
r = fit_mle(Dirichlet, x)
@test_approx_eq_eps r.alpha d.alpha 0.25

r = fit_mle(Dirichlet, x, fill(2.0, n))
@test_approx_eq_eps r.alpha d.alpha 0.25
# r = fit_mle(Dirichlet, x, fill(2.0, n))
# @test_approx_eq_eps r.alpha d.alpha 0.25

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