1 ং
௨ৗͷΨϯϚɼແݶ۠ؒ (0, ∞ ) ্ʹఆٛ͞ΕΔ࿈ଓܕͷ֬
Ͱ͋Γɼܗঢ়ͱईͷ 2 ͭͷΛ࣋ͭɽΨϯϚɼͦͷಛ घͳ߹ͱͯ͠ɼࢦΧΠ 2 Λแؚ͢Δɽ·ͨɼΨϯϚ
ʹै͏֬มΛۊม͢Δ͜ͱʹΑͬͯಘΒΕΔ֬ΛҰൠԽΨϯ Ϛͱ͍͍ɼͦͷಛघͳ߹ͱͯ͠ɼΨϯϚͷଞʹ Weibull Λ แؚ͢Δɽ
ҰൠԽΨϯϚɼຸ୩ʢ2010ʣ Stacy (1962), Johnson and Kotz (1972), Johnson, Kotz and Balakrishnan (1994), Khodabin and Ahmad- abadi (2010), Forbes, Evans, Hastings and Peacock (2011) Ͱߟ͞Ε
͍ͯΔɽ͔͠͠ɼҰൠԽΨϯϚͷͱܗঢ়ͷؔʹؔ͢Δମܥతͳ ݴٴɼJohnson, Kotz and Balakrishnan (1994) ʹ͓͍ͯۇ͔ʹݟΒΕΔ ఔͰ͋Δɽͦͯ͠ɼJohnson, Kotz and Balakrishnan (1994, p.389) ʹ͓
͍ͯɼຊߘͷ (11) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚʹ͍ͭͯɼͦͷ
ͷܗঢ় γα > 1 ͳΒܕͰ͋Γɼͦ͏Ͱͳ͚Εٯ J ࣈܕͰ͋Δͱ
ݴٴ͞ΕΔͷΈͰ͋ΔɽຊߘɼΑΓৄࡉͳܗͰɼҰൠԽΨϯϚͷີ
ؔͷάϥϑͷܗঢ়͕ͦͷʹԠͯ͡ͲͷΑ͏ʹมԽ͢Δ͔Λݕ౼͠ɼ
ͦͷ݁Ռͱͯ͠ಘΒΕͨݟΛཧ͢Δʢ໋ 1ɼ໋ 2 ࢀরʣɽ
∗Ԭେֶܦࡁֶ෦ɼE-mail: [email protected]
一般化ガンマ分布の形状について
伴 原 理 人*
ຊߘҎԼͷΑ͏ʹߏ͞ΕΔɽઌͣɼୈ 2 અʹ͓͍ͯɼΨϯϚؔΛਖ਼ نԽఆͱͯ͠ඪ४ΨϯϚΛߏ্ͨ͠Ͱɼඪ४ΨϯϚʹै͏֬
มΛۊม͢Δ͜ͱʹΑͬͯҰൠԽΨϯϚΛಋೖ͢ΔɽߋʹɼҰ ൠԽΨϯϚʹै͏֬มΛ 1 ࣍ม͢Δ͜ͱʹΑͬͯͦͷҐஔई
Λߏ͢Δɽ࣍ʹɼୈ 3 અʹ͓͍ͯɼҰൠԽΨϯϚͷີؔ
ͷάϥϑͷܗঢ়͕ͦͷʹԠͯ͡ͲͷΑ͏ʹมԽ͢Δ͔Λݕ౼͠ɼͦͷ
݁Ռͱͯ͠ಘΒΕͨݟΛ໋ 1ɼ໋ 2 ͱͯ͠ཧ͢Δɽ·ͨɼҰൠԽΨ ϯϚͷಛघͳ߹ͱͯ͠ɼΨϯϚͱ Weibull ͷີؔʹͭ
͍ͯಉ༷ͷߟΛߦ͏ʢܥ 1ɼܥ 2 ࢀরʣɽҎ্ͷݕ౼ͷաఔͰಘΒΕΔ
ີؔͷ૿ݮදશͯิ A ʹఏࣔ͠ɼີؔͷάϥϑશͯิ B ʹఏࣔ͢Δɽ࠷ޙʹɼୈ 4 અͰ݁Λड़Δɽ
2 ҰൠԽΨϯϚͱͦͷҐஔई
࣮ α, x ʹରͯ͠ɼx ͷؔ g(x) := x
α−1e
−xΛߟ͑Δɽ͜͜Ͱɼ߸
:= ͦͷࠨลΛͦͷӈลʹΑͬͯఆٛ͢Δ͜ͱΛҙຯ͢Δɽͯ͞ɼα > 1 ʹ ରͯ͠ g(0) = 0ɼ α = 1 ʹରͯ͠ g(0) = 1ɼα < 1 ʹରͯ͠ g(x) −−−−−→ ∞
x→0+0Ͱ͋Γɼ·ͨɼҙͷ α ∈ ( −∞ , ∞ ) ʹରͯ͠ g(x) −−−−→
x→∞0 Ͱ͋Δ͜ͱʹ
ҙ͢Δɽ·ͣɼα ≥ 1 ͷ߹ɼҙͷਖ਼ͷ࣮ M ʹରͯ͠ɼؔ g(x) ด۠ؒ [0, M ] Ͱ࿈ଓͳͷͰఆੵ
M0
x
α−1e
−xdx ଘࡏ͠ɼ͔ͭɼٛੵ
∞0
x
α−1e
−xdx := lim
M→∞M0
x
α−1e
−xdx ଘࡏ͢Δʢྫ͑ɼݘҪ 1962ɼ p.1 ਿӜ 1980ɼ pp.295–296 ࢀরʣɽ࣍ʹɼ α < 1 ͷ߹ɼ 0 < < M ͳΔҙͷ࣮ ʹରͯ͠ɼؔ g(x) ด۠ؒ [, M ] Ͱ࿈ଓͳͷͰఆੵ
M
x
α−1e
−xdx ଘࡏ͢Δɽ͜͜Ͱɼߋʹɼα > 0 Ͱ͋ΔͳΒɼٛੵ
∞0
x
α−1e
−xdx := lim
→0,M→∞M
x
α−1e
−xdx ଘࡏ͢ΔʢݘҪ 1962ɼ p.1ɼਿӜ 1980ɼpp.295–296 ࢀরʣɽैͬͯɼҙͷ α > 0 ʹରͯ͠ɼੵ
∞0
x
α−1e
−xdx ͕ఆٛ͞ΕΔɽ͜ͷੵΛਖ਼ͷ࣮ α ͷؔͱݟ၏ͨ͠
ͷΛΨϯϚؔͱ͍͍ɼΓ(α) ͱදه͢Δɿ
Γ(α) :=
∞0
x
α−1e
−xdx, α > 0. (1)
ҙͷਖ਼ͷ࣮ x ∈ (0, ∞ ) ʹରͯ͠ x
α−1e
−x> 0 Ͱ͋ΔͷͰɼҙͷ α > 0 ʹରͯ͠ɼΨϯϚؔৗʹਖ਼ΛऔΔɽଈͪɼҙͷਖ਼ͷ࣮ α > 0 ʹ ରͯ͠ Γ(α) > 0 Ͱ͋Δɽ
ҎԼɼୈ 2.1 અʹ͓͍ͯɼΨϯϚؔΛਖ਼نԽఆͱͯ͠ඪ४ΨϯϚ
Λߏ্ͨ͠Ͱɼඪ४ΨϯϚʹै͏֬มΛۊม͢Δ͜ͱʹΑͬ
ͯҰൠԽΨϯϚΛಋೖ͢Δɽଓ͍ͯɼୈ 2.2 અʹ͓͍ͯɼҰൠԽΨϯ Ϛʹै͏֬มΛ 1 ࣍ม͢Δ͜ͱʹΑͬͯͦͷҐஔईΛ ߏ͢Δɽ
2.1 ඪ४ΨϯϚͱҰൠԽΨϯϚ
ΨϯϚͱɼΨϯϚؔΛਖ਼نԽఆͱͯ͠ߏ͞ΕΔ֬Ͱ
͋ΔɽଈͪɼҎԼͰఆٛ͞ΕΔີؔ f
∗: (0, ∞ ) → ( −∞ , ∞ ) Λ࣋ͭ֬
ΛΨϯϚʢಛʹɼඪ४ΨϯϚʣͱ͍͍ɼα Λܗঢ়ͱ͍
͏ʢα > 0ʣ ɿ
f
∗(z | α) := 1
Γ(α) z
α−1e
−z, z > 0. (2)
࣮ࡍɼҙͷਖ਼ͷ࣮ α, z > 0 ʹରͯ͠ɼz
α−1e
−z> 0 ʹͯ͠ Γ(α) > 0 Ͱ
͋Δ͜ͱʹҙ͢Δͱɼf
∗(z | α) > 0 ΛಘΔɽ·ͨɼΨϯϚؔͷఆٛʹ
ҙ͢Δͱɼ
∞0
f
∗(z | α)dz = 1 ΛಘΔɽΑͬͯɼؔ f
∗ɼඇෛੑͱਖ਼ن Խ݅Λຬͨ͢ͷͰɼ͔֬ʹີؔͰ͋Δɽ
ͯ͞ɼZ Λඪ४ΨϯϚʹै͏֬ม Z ∼ f
∗ͱͯ͠ɼਖ਼ͷ࣮ β ʹରͯ͠ Z Λۊม͢ΔɽଈͪɼX := Z
β, β > 0 ͱ͢Δɽ͜ͷ࣌ɼX ͷ
֬ΛҰൠԽΨϯϚͱ͍͍ɼβ α ͱಉ͘͡ܗঢ়ͱݺΕΔɽ
͜͜Ͱɼ0 < Z < ∞ , β > 0 ʹΑΓ 0 < X < ∞ ҙ͢ΔͱɼX ͷؔ
F
0ɼͦͷఆٛʹΑΓɼ0 < x < ∞ ͳΔ x ʹରͯ͠ɼ
F
0(x) := P(X ≤ x) = P
Z ≤ x
β1=
x1β0
f
∗(z | α)dz
ͱͯ͠ද͞Εɼͦͷີؔ f
0 F
0ͷಋؔͱͯ͠ಘΒΕΔɿ f
0(x | α, β) = d
dx F
0(x) = 1
β f
∗(x
β1| α)x
β1−1.
ैͬͯɼ0 < x < ∞ ͳΔ x ʹରͯ͠ɼX ͷີؔ f
0࣍ࣜͱͳΔ ʢ0 < α, β < ∞ ʣ ɿ
f
0(x | α, β) = 1
β Γ(α) x
αβ−1e
−x1β
. (3)
γ := 1/β ͳΔมΛࢪ͢ͱɼX := Z
β= Z
1/γͷີؔ f
0ͷผදݱ
͕ಘΒΕΔʢ0 < α, γ < ∞ ʣ ɿ f
0(x | α, γ) = γ
Γ(α) x
γα−1e
−xγ, 0 < x < ∞ . (4) Ҏ্ͷΑ͏ʹɼ(3) ࣜ͘͠ (4) ࣜͰఆٛ͞Εͨີؔ f
0Λ࣋ͭ֬
ΛҰൠԽΨϯϚʢಛʹɼҰൠԽΨϯϚͷඪ४ܕʣͱ͍͍ɼα ͱ
βʢ͘͠ γʣΛܗঢ়ͱ͍͏ɽҎԼʹ͓͍ͯɼಛʹஅΒͳ͍ݶΓɼ
ҰൠԽΨϯϚͷີؔ f
0ͱͯ͠ (4) ࣜͷදݱΛ༻͍Δɽ
ͯ͞ɼγ = 1ʢ ⇐⇒ β = 1ʣͷ߹ɼҰൠԽΨϯϚͷີؔඪ
४ΨϯϚͷີؔʹؼண͢Δɿ f
0(x | α, 1) = f
∗(x | α) = 1
Γ(α) x
α−1e
−x, 0 < x < ∞ . (5)
·ͨɼα = 1 ͷ߹ɼΓ(1) = 1 ʹҙ͢ΔͱɼҰൠԽΨϯϚͷີؔ
f
0ඪ४ Weibull ͷີؔʹؼண͢Δɿ
f
0(x | 1, γ) = γx
γ−1e
−xγ, 0 < x < ∞ . (6) ߋʹɼα = γ = 1 ͷ߹ɼҰൠԽΨϯϚͷີؔ f
0ඪ४ࢦ
ͷີؔʹؼண͢Δɿ
f
0(x | 1, 1) = e
−x, 0 < x < ∞ . (7) Ҏ্ʹΑΓɼҰൠԽΨϯϚͷ 2 ͭͷܗঢ় α ͱ γʢ͘͠ β ʣʹ
͍ͭͯɼα ΨϯϚͷܗঢ়ɼγʢ͘͠ βʣ Weibull ͷܗ
ঢ়ʹରԠ͢Δͱ͔Δɽ
࠷ޙʹɼ(4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷඪ४ܕʹै͏֬ม X ͷجຊతͳಛੑͱͯ͠ɼͦͷظͱࢄ࣍ͷΑ͏ʹٻ·Δɿ
E(X) = Γ(α + 1/γ )
Γ(α) , V (X) = Γ(α + 2/γ) Γ(α) −
Γ(α + 1/γ) Γ(α)
2. (8)
࣮ࡍɼҙͷਖ਼ͷ࣮ k ʹରͯ͠ɼX ͷ k ࣍Ϟʔϝϯτɼ E
X
k=
∞0
x
kf
0(x | α, γ)dx
= Γ(α + k/γ) Γ(α)
∞0
γ
Γ(α + k/γ ) x
γ(α+k/γ)−1e
−xγdx = Γ(α + k/γ ) Γ(α) ͱٻΊΒΕΔɽ͜͜Ͱɼ࠷ޙͷࣜɼͦͷࠨลͷඃੵ͕ؔ (4) ࣜͰ ఆٛ͞ΕΔҰൠԽΨϯϚͷີؔͳ͍ͬͯΔ͜ͱɼͭ·Γɼ
f
0(x | α + k/γ, γ) = γ
Γ(α + k/γ ) x
γ(α+k/γ)−1e
−xγͰ͋Δ͜ͱʹҙ͢Δͱɼີؔͷਖ਼نԽ݅ʹΑཱͬͯ͢Δ͜ͱ͕
͔Δɽͳ͓ɼࢄެࣜ V (X) = E(X
2) − [E(X)]
2ʹҙ͢Δɽ
ͯ͞ɼҰൠԽΨϯϚͷඪ४ܕͷظͱࢄ (8) ࣜɼγ = 1 ͷ
߹ɼͭ·Γɼඪ४ΨϯϚ (5) ࣜͷ߹ɼΓ(α + 1) = αΓ(α) ʹҙ͢Δ ͱɼ࣍ͷΑ͏ʹ؆୯Խ͞ΕΔɿ
E(X) = α, V (X ) = α. (9)
·ͨɼα = 1 ͷ߹ɼͭ·Γɼඪ४ Weibull (6) ࣜͷ߹ɼΓ(1) = 1 ʹ
ҙ͢Δͱɼ࣍ͱͳΔɿ
E(X ) = Γ
1 + 1 γ
, V (X ) = Γ
1 + 2 γ
−
Γ
1 + 1 γ
2. (10)
2.2 ҰൠԽΨϯϚͷҐஔई
ຊઅɼ(4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷඪ४ܕʹҐஔͱई
Λಋೖ͢ΔɽX ΛҰൠԽΨϯϚͷඪ४ܕʹै͏֬ม X ∼ f
0ͱͯ͠ɼ࣮ μ ͱਖ਼ͷ࣮ σ ʹରͯ͠ Z Λ 1 ࣍ม͢ΔɽଈͪɼY :=
μ + σX, −∞ < μ < ∞ , σ > 0 ͱ͢Δɽ͜ͷ࣌ɼY ͷ֬Λ μ ΛҐஔ
ɼσ Λईͱ͢ΔҰൠԽΨϯϚͷҐஔईͱ͍͏ɽͦ
ͷؔ F ɼͦͷఆٛʹΑΓɼy > μ ͳΔ y ʹରͯ͠ɼ
F (y) := P (Y ≤ y) = P
X ≤ y − μ σ
=
y−μσ
0
f
0(x | α, γ)dx Ͱ͋Γɼͦͷີؔ f F ͷಋؔͱͯ͠ಋग़͞ΕΔɿ
f (y | α, γ, μ, σ) = d
dy F (y) = 1 σ f
0y − μ σ
α, γ
.
ैͬͯɼy > μ ͳΔ y ʹରͯ͠ɼY ͷີؔ f ࣍ࣜͱͯ͠ಘΒΕΔɿ f (y | α, γ, μ, σ) = γ
σΓ(α)
y − μ σ
γα−1e
−(
y−μσ)
γ. (11)
͜͜ͰɼҐஔ μ ҙͷ࣮ͰΑ͍ͷʹରͯ͠ɼई σ ͱ 2 ͭͷܗ ঢ় α ͱ γ ਖ਼Ͱ͋Δ͜ͱʹҙ͢Δɿ μ ∈ ( −∞ , ∞ ), σ, α, γ ∈ (0, ∞ ).
μ = 0, σ = 1 ͷ߹ɼҰൠԽΨϯϚͷҐஔईҰൠԽΨϯϚ
ͷඪ४ܕ (4) ࣜʹؼண͢Δɿf (y | α, γ, 0, 1) = f
0(y | α, γ), y > μ = 0.
ͯ͞ɼୈ 2.1 અͰࢦఠͨ͠௨Γɼ(11) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚ
ͷҐஔईʹ͓͍ͯɼ2 ͭͷܗঢ় α ͱ γ ͦΕͧΕΨϯϚ
ͱ Weibull ͷܗঢ়ʹରԠ͢Δɽ
ઌͣɼγ = 1 ͷ߹ɼ(11) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷҐஔई
ͷີؔ f ඪ४ΨϯϚ (5) ࣜͷҐஔईͷີؔ
ʹؼண͢Δʢy > μʣ ɿ
f (y | α, 1, μ, σ) = 1 σΓ(α)
y − μ σ
α−1e
−(
y−μσ) . (12) ߋʹɼҙͷਖ਼ͷ࣮ n ʹରͯ͠ʢ0 < n < ∞ ʣɼα = n/2, σ = 2, μ = 0 Ͱ͋ΔͳΒɼࣗ༝ n ͷΧΠ 2 ͷີؔʹؼண͢Δʢy > 0ʣ ɿ
f (y | n/2, 1, 0, 2) = 1
2
n/2Γ(n/2) y
n2−1e
−y2.
͜͜Ͱɼࣗ༝ n ͷΧΠ 2 ɼඞͣͦ͠ͷࣗ༝ΛࣗવʹݶΔ ඞཁͳ͘ɼҙͷਖ਼ͷ࣮ n ʹରͯ͠ఆٛ͞ΕಘΔ͜ͱʹҙ͢Δɽ
࣍ʹɼα = 1 ͷ߹ɼҰൠԽΨϯϚͷҐஔईͷີؔ f ඪ४ Weibull (6) ࣜͷҐஔईͷີؔʹؼண͢Δʢy > μʣ ɿ
f(y | 1, γ, μ, σ) = γ σ
y − μ σ
γ−1e
−(
y−μσ)
γ. (13)
·ͨɼα = γ = 1 ͷ߹ɼҰൠԽΨϯϚͷҐஔईͷີؔ
f ඪ४ࢦ (7) ࣜͷҐஔईͷີؔʹؼண͢Δʢy > μʣ ɿ f (y | 1, 1, μ, σ) = 1
σ e
−y−μσ. (14)
࠷ޙʹɼҰൠԽΨϯϚͷҐஔई (11) ࣜʹै͏֬ม Y ͷ ظͱࢄɼY := μ + σX, X ∼ f
0ʹҙ͢Δͱɼ(8) ࣜʹΑΓ
E(Y ) = μ + σ Γ(α + 1/γ)
Γ(α) , V (Y ) = σ
2Γ(α + 2/γ) Γ(α) −
Γ(α + 1/γ) Γ(α)
2ͱٻ·Γɼ͜Εɼγ = 1 ͷ߹ɼͭ·Γɼඪ४ΨϯϚͷҐஔई
(12) ࣜͷ߹ɼ
E(Y ) = μ + σα, V (Y ) = σ
2α
ͱ؆୯Խ͞Εɼα = 1 ͷ߹ɼͭ·Γɼඪ४ Weibull ͷҐஔई
(13) ࣜͷ߹ɼ࣍ͱͳΔɿ
E(Y ) = μ + σΓ
1 + 1 γ
, V (Y ) = σ
2Γ
1 + 2 γ
−
Γ
1 + 1 γ
2.
3 ҰൠԽΨϯϚͷܗঢ়
ຊઅͰɼҰൠԽΨϯϚͷີؔͷάϥϑͷܗঢ়ʹ͍ͭͯߟ͢
ΔɽͦͷࡍɼҰൠԽΨϯϚͷີؔʹ͍ͭͯɼ(4) ࣜͰఆٛ͞ΕΔඪ
४ܕͷີؔ f
0(x | α, γ), 0 < x < ∞ ͱ (11) ࣜͰఆٛ͞ΕΔͦͷҐஔई
ͷີؔ f (y | α, γ, μ, σ), μ < y < ∞ ͱͷؒʹҎԼͷ͕ؔࣜ
ཱ͢Δ͜ͱʹҙ͢Δɽୠ͠ɼҎԼͰɼΛಛʹ໌ࣔ͢Δඞཁ͕ͳ͍
߹ɼf
0(x) := f
0(x | α, γ), f (y) := f(y | α, γ, μ, σ) ͱུه͢Δɽ f (y) = 1
σ f
0y − μ σ
.
͜ΕʹΑΓɼͦΕΒͷ 1 ֊ಋؔʹ͍ͭͯ
f
(y) = 1 σ
2f
0y − μ σ
ͳΔཱ͕ؔ͠ɼͦͯ͠ɼσ
2> 0 ʹҙ͢Δͱɼ࣍ͷಉؔΛಘΔɿ f
(y) ≶ 0 ⇐⇒ f
0y − μ σ
≶ 0.
ΑͬͯɼҰൠԽΨϯϚͷඪ४ܕͷີؔ f
0(x) ͷάϥϑ { (x, f
0(x)) | x ∈ (0, ∞ ) } ͷܗঢ়͕໌͢Εɼͦͷಠཱม x ͷΛ y = σx + μ ͱஔ
্͖͑ͨͰؔ f
0(x) Λ 1/σ ഒ͢Δ͜ͱʹΑͬͯɼҰൠԽΨϯϚ
ͷҐஔईͷີؔ f (y) ͷάϥϑ { (y, f(y)) | y ∈ (μ, ∞ ) } ͷܗঢ়
໌͢Δͱ͔Δɽ
ैͬͯɼҎԼͰɼ(4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷඪ४ܕͷີ
ؔ f
0ͷάϥϑͷܗঢ়͕ͦͷܗঢ় α ͱ γ ʹԠͯ͡ͲͷΑ͏ʹมԽ͢
Δ͔Λݕ౼্ͨ͠ͰɼͦͷҐஔईͷີؔ f ͷάϥϑͷܗঢ়͕
ͦͷҐஔ μ ͱई σ ʹԠͯ͡ͲͷΑ͏ʹมԽ͢Δ͔ʹ͍ͭͯݕ౼ ΛՃ͑Δɽͦͷࡍɼୈ 3.1 અͰҰൠͷ߹ʹ͍ͭͯٞͨ͠ޙɼୈ 3.2 અͰ ز͔ͭͷಛघͳ߹ʹ͍ͭͯٞ͢Δɽ
3.1 Ұൠͷ߹ɿҰൠԽΨϯϚ
(4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷඪ४ܕͷີؔ f
0ͷ 1 ֊ಋؔ
ͱͯ͠ҎԼ͕ಘΒΕΔɿ f
0(x) = γ
Γ(α) [(γα − 1) − γx
γ] x
γα−2e
−xγ, x > 0.
ҙͷ α, γ > 0 ͱ x > 0 ʹରͯ͠ɼγx
γα−2e
−xγ/Γ(α) > 0 Ͱ͋ΔͷͰɼ f
0(x) ≶ 0 ⇐⇒ (γα − 1) − γx
γ≶ 0
Ͱ͋Δͱ͔ΔɽҎԼʹ͓͍ͯɼγα − 1 ≤ 0 ͷ߹ͱ γα − 1 > 0 ͷ߹
ͱʹେผͯٞ͢͠Δɽ
ୈҰʹɼγα − 1 ≤ 0 ⇐⇒ γα ≤ 1 ͷ߹ɼҙͷ x ∈ (0, ∞ ) ʹରͯ͠
γx
γ> 0 Ͱ͋Δ͜ͱʹҙ͢Δͱɼ(γα − 1) − γx
γ< 0 ΛಘΔɽΑͬͯɼ (γα − 1) − γx
γ< 0 ⇐⇒ f
0(x) < 0
ʹΑΓɼγα ≤ 1 ͷ߹ɼҰൠԽΨϯϚͷີؔ f
0(x) x ͷ୯ௐ ݮগؔͰ͋Δͱ͔Δɽ͜͜Ͱɼߋʹɼγα < 1 ͷ߹ͱ γα = 1 ͷ߹
ͷ 2 ͭʹ͚ͯߟ͑Δɽઌͣɼγα < 1 ͷ߹ʹ͍ͭͯߟ͑Δͱɼx → 0 ͷ
࣌ɼx
γα−1→ ∞ , x
γα−2→ ∞ , x
γ→ 0 Ͱ͋Γɼx → ∞ ͷ࣌ɼx
γα−1→ 0, x
γα−2→ 0, x
γ→ ∞ , x
γ= o(e
xγ) Ͱ͋Δ͜ͱʹҙ͢ΔͱɼҎԼΛ ಘΔɿ
f
0(x) −−−→ ∞
x→0, f
0(x) −−−−→
x→∞0, f
0(x) −−−→ −∞
x→0, f
0(x) −−−−→
x→∞0.
࣍ʹɼγα = 1 ͷ߹Λߟ͑ΔͱɼҰൠԽΨϯϚͷີؔ f
0(x) ͱͦ
ͷ 1 ֊ಋؔ f
0(x) ࣍ͷΑ͏ʹ୯७Խ͞ΕΔɿ f
0(x) = γ
Γ(α) e
−xγ, f
0(x) = − γ
2Γ(α) x
γ−1e
−xγ. Αͬͯɼγ = 1/α, αΓ(α) = Γ(α + 1) ʹҙ͢Δͱɼ
f
0(x) −−−→
x→01
Γ(α + 1) , f
0(x) −−−−→
x→∞0 ΛಘΔɽߋʹɼγ < 1 ͳΒɼ
f
0(x) −−−→ −∞
x→0, f
0(x) −−−−→
x→∞0
Ͱ͋Γɼγ = 1 ͳΒɼΓ(1) = 1 ʹҙ͢Δͱɼ f
0(x) −−−→ −
x→01, f
0(x) −−−−→
x→∞0 Ͱ͋Γɼγ > 1 ͳΒɼ࣍ΛಘΔɿ
f
0(x) −−−→
x→00, f
0(x) −−−−→
x→∞0.
Ҏ্ʹΑΓɼγα − 1 ≤ 0 ͷ߹ɼҰൠԽΨϯϚͷີؔ f
0(x) x ͷ୯ௐݮগؔͰ͋Γɼͦͷ૿ݮදͱͯ͠ γα − 1 < 0 ͷ߹ʹද 1ɼ γα − 1 = 0 ͷ߹ʹද 2 ͕ಘΒΕΔʢิ A ࢀরʣɽ
ୈೋʹɼγα − 1 > 0 ⇐⇒ γα > 1 ͷ߹ɼ
(γα − 1) − γx
γ≶ 0 ⇐⇒ x ≷
γα − 1 γ
1γ=: x
mʹΑΓɼҰൠԽΨϯϚͷີؔ f
0(x) ɼ 0 < x < x
mͳΔ x ʹରͯ͠
୯ௐ૿Ճɼx
m< x < ∞ ͳΔ x ʹରͯ͠୯ௐݮগͱͳΓɼ x = x
mΛ࠷
େʢ࠷සʣͱ͢Δ୯ๆܕͷܗঢ়Ͱ͋Δɽ·ͨɼx → 0 ͷ࣌ʹ x
γα−1→ 0 ͱͳΓɼx → ∞ ͷ࣌ʹ x
γα−1→ ∞ ʹͯ͠ x
γα−1= o(e
xγ) ͱͳΔ͜ͱʹ
ҙ͢Δͱɼ࣍ΛಘΔɿ
f
0(x) −−−→
x→00, f
0(x) −−−−→
x→∞0.
1 ֊ಋؔ f
0(x) ʹ͍ͭͯಉ༷ͷߟΛ܁Γฦ͢ͱɼ1 < γα < 2 ͷ߹ʹ f
0(x) −−−→ ∞
x→0, f
0(x) −−−−→
x→∞0,
γα = 2 ͷ߹ʹ
f
0(x) −−−→
x→02
Γ(α + 1) , f
0(x) −−−−→
x→∞0, γα > 2 ͷ߹ʹҎԼΛಘΔɿ
f
0(x) −−−→
x→00, f
0(x) −−−−→
x→∞0.
Ҏ্ʹΑΓɼγα − 1 > 0 ͷ߹ɼҰൠԽΨϯϚͷີؔ f
0(x) ͷ૿
ݮදͱͯ͠ද 3 ͕ಘΒΕΔʢิ A ࢀরʣɽ
Ҏ্ͷٞʹΑͬͯɼҰൠԽΨϯϚͷີؔ f
0ͷάϥϑͷܗঢ়ʹ
͍ͭͯҎԼͷ໋ΛಘΔɽ
໋ 1 (ҰൠԽΨϯϚͷܗঢ়ɿඪ४ܕͷ߹) . (4) ࣜͰఆٛ͞ΕΔҰൠ
ԽΨϯϚͷີؔ f
0ͷάϥϑ { (x, f
0(x | α, γ)) | x ∈ (0, ∞ ) } ͷܗঢ়
ɼਖ਼ͷܗঢ় α ͱ γ ʹԠͯ͡ҎԼͷΑ͏ʹఆ·Δʢα, γ > 0ʣɽୠ
͠ɼҎԼͰ f
0(x) := f (x | α, γ) ͱུه͢Δɽͳ͓ɼਤʹ͍ͭͯิ B Λࢀর͞Ε͍ͨɽ
1. γα ≤ 1 ͷ߹ʢ୯ௐݮগܕʣ
ີؔ f
0(x) x ͷ୯ௐݮগؔͰ͋ΓɼͦͷάϥϑӈԼΓͷ ܗঢ়Λࣔ͢ɽಛʹɼx → ∞ ͷ߹ʹ͓͍ͯ f
0(x) → 0 Ͱ͋Δɽ
(a) γα < 1 ͷ߹ʢඇ༗քɿਤ 1 ʣ x → 0 ʹ͓͍ͯ f
0(x) → ∞ Ͱ͋Δɽ (b) γα = 1 ͷ߹ʢ༗քɿਤ 2 ʣ
x → 0 ʹ͓͍ͯ f
0(x) → 1/Γ(α + 1) Ͱ͋Δ
1ɽ 2. γα > 1 ͷ߹ʢ୯ๆܕɿਤ 3 ɼਤ 4 ʣ
ີؔ f
0(x | α, γ) x = x
mΛ࠷େʢ࠷සʣͱͯ͠ɼͦͷά ϥϑ୯ๆܕͷܗঢ়Λࣔ͢ɿ
x
m=
γα − 1 γ
1γ.
·ͨɼ͜ͷ߹ɼx → 0 ͘͠ x → ∞ ͷ͍ͣΕͷ߹ʹ͓͍ͯ
f
0(x | α, γ) → 0 Ͱ͋Δ
2ɽ
1x→0ʹ͓͍ͯີؔf0(x)͕1/Γ(α+ 1)ʹऩଋ͢Δࡍɼͦͷ͖ɼγ <1 ⇐⇒
α >1ͷ߹ʹෛͷແݶେʹൃࢄ͠ʢf0(x)−−−→ −∞x→0 ʣɼγ= 1 ⇐⇒ α= 1ͷ߹ʹఆ
ʹऩଋ͠ʢf0(x)−−−→ −x→0 1ʣɼγ >1 ⇐⇒ α <1ͷ߹ʹ0ʹऩଋ͢Δʢf0(x)−−−→x→0 0ʣ ͱ͍͏ܗΛऔΔʢਤ2ࢀরʣɽ
2x→0ʹ͓͍ͯີؔf0(x)͕0ʹऩଋ͢Δࡍɼͦͷ͖ɼγα <2ͷ߹ʹແݶ
େʹൃࢄ͠ʢf0(x)−−−→ ∞x→0 ʣɼγα= 2ͷ߹ʹఆʹऩଋ͠ʢf0(x)−−−→x→0 2/Γ(α+ 1)ʣɼ γα >2ͷ߹ʹ0ʹऩଋ͢Δʢf0(x)−−−→x→0 0ʣͱ͍͏ܗΛऔΔʢਤ3ɼਤ4ࢀরʣɽ
Ҏ্ʹ͓͍ͯɼҰൠԽΨϯϚͷີؔͷܗঢ়͕ 2 ͭͷܗঢ়ʹ Ԡͯ͡ͲͷΑ͏ʹมԽ͢Δ͔͕໌Β͔ʹͳͬͨɽຊઅͷ࠷ޙʹɼҰൠԽΨ ϯϚͷີؔͷܗঢ়ͱҐஔɼईͷؔΛ໌Β͔ʹ͠Α͏ɽ
(11) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷҐஔईͷີؔ f ʹ
͓͍ͯɼҐஔ μ ͕ͦͷάϥϑΛ μ ͚ͩࠨӈʹฏߦҠಈͤ͞Δ͜ͱ໌
Β͔Ͱ͋Ζ͏ɽैͬͯɼҎԼʹ͓͍ͯɼईͱີؔ f ͷܗঢ়ͷ
ؔʹ͍ͭͯݕ౼͢Δɽ
0 < σ < τ ͱͯ͠ɼ(11) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷҐஔई
ͷີؔ f ͕ҙͷ y ∈ (μ, ∞ ) ʹରͯ͠ਖ਼Ͱ͋Δ͜ͱʹҙ͢Δ ͱɼ࣍ͷಉؔΛಘΔɿ
f (y | α, γ, μ, σ) ≶ f (y | α, γ, μ, τ) ⇐⇒ f (y | α, γ, μ, σ) f (y | α, γ, μ, τ) ≶ 1.
·ͨɼରม͕୯ௐมͰ͋Δ͜ͱʹҙ͢Δͱɼ
f (y | α, γ, μ, σ) ≶ f (y | α, γ, μ, τ) ⇐⇒ log f (y | α, γ, μ, σ) f (y | α, γ, μ, τ) ≶ 0 ΛಘΔɽͯ͞ɼ
f (y | α, γ, μ, σ) f(y | α, γ, μ, τ ) =
τ σ
γαe
−τγ−σγσγ τγ (y−μ)γʹΑΓɼҎԼΛಘΔɿ
log f (y | α, γ, μ, σ)
f (y | α, γ, μ, τ) = γα(log τ − log σ) − τ
γ− σ
γσ
γτ
γ(y − μ)
γ≶ 0.
⇐⇒ (y − μ)
γ≷ γασ
γτ
γτ
γ− σ
γ(log τ − log σ).
͜͜Ͱɼγ > 0, y > μ, γασ
γτ
γ(log τ − log σ)/(τ
γ− σ
γ) > 0 Ͱ͋Δ͜ͱʹ
ҙ͠ɼਖ਼ͷ࣮ʹର͢Δਖ਼ͷۊม͕୯ௐมͰ͋Δ͜ͱʹҙ͢Δͱɼ
log f (y | α, γ, μ, σ)
f (y | α, γ, μ, τ ) ≶ 0 ⇐⇒ y − μ ≷
γασ
γτ
γτ
γ− σ
γ(log τ − log σ)
γ1ΛಘΔɽҎ্ʹΑΓɼ࣍ͷಉؔΛಘΔɿ f(y | α, γ, μ, σ) ≶ f(y | α, γ, μ, τ) ⇐⇒ y ≷ μ+
γασ
γτ
γτ
γ− σ
γ(log τ − log σ)
1γ.
͜ΕʹΑΓɼ(11) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷҐஔईʹ͓
͍ͯɼई͕େ͖͘ͳΔఔɼͦͷີؔӈ͕ް͘ͳΓɼࠨ͕
ബ͘ͳΔ͜ͱ͕໌͢Δɽ
Ҏ্ͷٞʹΑͬͯɼҰൠԽΨϯϚͷҐஔईͷີؔ f ͷάϥϑͷܗঢ়ʹ͍ͭͯ࣍ͷ໋ΛಘΔɽ
໋ 2 (ҰൠԽΨϯϚͷܗঢ়ɿҐஔईͷ߹) . (11) ࣜͰఆٛ͞Ε
ΔҰൠԽΨϯϚͷҐஔईͷີؔf ͷάϥϑ { (y, f(y | α, γ, μ, σ)) | y ∈ (μ, ∞ ) } ͷܗঢ়ɼ 4 ͭͷ α, γ, μ, σ ʹԠͯ͡ҎԼͷΑ͏ʹఆ·
Δɽୠ͠ɼα, γ, σ ∈ (0, ∞ ), μ ∈ ( −∞ , ∞ ) Ͱ͋Δɽਤʹ͍ͭͯิ B Λ
ࢀর͞Ε͍ͨɽ
1. 2 ͭͷܗঢ় α ͱ γ ʹԠͯ͡ɼີؔ f (y | α, γ, μ, σ) ͷάϥϑͷ ܗঢ়ɼඪ४ܕͷີؔ f
0(x | α, γ) ͱಉ༷ͷܗͰܾఆ͞ΕΔʢ໋
1 ࢀরʣɽୠ͠ɼಠཱมͷ࠲ඪ y = μ + σx ͱม͞Εɼؔ
ʢີؔͷߴ͞ʣ 1/σ ഒ͞Εͳ͚ΕͳΒͳ͍ɽ
2. Ґஔ μ ͕େ͖͘ͳΔͱɼີؔ f (y | α, γ, μ, σ) ͷάϥϑӈʹ ฏߦҠಈ͠ɼখ͘͞ͳΔͱࠨʹฏߦҠಈ͢Δʢਤ 7 ɼਤ 8 ɼਤ 15 ɼਤ 16 ɼਤ 20 ࢀরʣɽ
3. ई σ ͕େ͖͘ͳΔͱɼີؔ f (y | α, γ, μ, σ) ͷάϥϑͦͷ ӈ͕ް͘ͳΓɼࠨ͕ബ͘ͳΔʢਤ 9 ɼਤ 10 ɼਤ 11 ɼਤ 17 ɼਤ 18 ɼ ਤ 19 ɼਤ 21 ࢀরʣɽΑΓਖ਼֬ʹදݱ͢Δͱɼσ < τ Ͱ͋Δ 2 ͭͷई
σ ͱ τ ʹରͯ͠ɼy ͕Ұఆͷ μ + y
στΑΓখ͍͞߹ʹ
f (y | α, γ, μ, σ) > f(y | α, γ, μ, τ)ɼେ͖͍߹ʹ f (y | α, γ, μ, σ) <
f (y | α, γ, μ, τ) Ͱ͋Γɼy = μ + y
στͷ߹ʹ f (y | α, γ, μ, σ) = f (y | α, γ, μ, τ) Ͱ͋Δɿ
y
στ:=
γασ
γτ
γτ
γ− σ
γlog τ
σ
γ1.
3.2 ز͔ͭͷಛघͳ߹
(4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷඪ४ܕͷີؔ f
0ɼγ = 1 ͱ
ͨ͠߹ɼ(5) ࣜͰݟͨΑ͏ʹඪ४ΨϯϚͷີؔʹؼண͠ɼα = 1 ͱͨ͠߹ɼ(6) ࣜͰݟͨΑ͏ʹඪ४ Weibull ͷີؔʹؼண͢Δɽ ຊઅͰɼ͜ͷಛघͳ߹ʹ͓͍ͯɼҰൠԽΨϯϚͷີؔͷܗঢ় ΛվΊͯߟ͢Δɽͳ͓ɼͦͷଞͷಛघͳ߹ͱͯ͠ɼα = 1/2 ͷ߹ͱ α = 2 ͷ߹ɼγ = 1/2 ͷ߹ɼγ = 2 ͷ߹ʹ͍ͭͯɼҰൠԽΨϯϚ
ͷີؔͷάϥϑΛͦΕͧΕਤ 22ɼਤ 23ɼਤ 24ɼਤ 25 ʹఏࣔ͢Δʢิ
B ࢀরʣɽ
3.2.1 γ = 1 ͷ߹ɿΨϯϚ
(4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷඪ४ܕͷີؔ f
0ɼγ = 1 ͱ
ͨ͠߹ɼ(5) ࣜͰݟͨΑ͏ʹඪ४ΨϯϚͷີؔʹؼண͢ΔɽΑͬ
ͯɼ໋ 1 ͷܥͱͯ͠ҎԼͷ݁Ռʢܥ 1ʣ͕ಘΒΕΔɽ࣮ࡍɼγ = 1 ͷ߹ɼ ҰൠԽΨϯϚͷີؔ f
0ඪ४ΨϯϚͷີؔʹؼண͢Δͷ Ͱɼͦͷ 1 ֊ಋؔ
f
0(x) = 1
Γ(α) [(α − 1) − x] x
α−2e
−xͱ؆୯Խ͞Εɼͦͷ૿ݮදද 4 ʹ༩͑ΒΕΔʢิ A ࢀরʣɽ
ܥ 1 (ඪ४ΨϯϚͷܗঢ়) . (5) ࣜͰఆٛ͞ΕΔඪ४ΨϯϚͷີ
ؔ f
0ͷάϥϑ { (x, f
0(x | α, 1)) | x ∈ (0, ∞ ) } ͷܗঢ়ɼਖ਼ͷܗঢ়
α > 0 ʹԠͯ͡ҎԼͷΑ͏ʹఆ·Δʢਤ 5 ࢀরʣɽୠ͠ɼҎԼͰ
f
0(x) := f
0(x | α, 1) ͱུه͢Δɽͳ͓ɼਤʹ͍ͭͯิ B Λࢀর͞Ε
͍ͨɽ
1. α ≤ 1 ͷ߹ʢ୯ௐݮগܕʣ
ີؔ f
0(x) ୯ௐݮগؔͰ͋ΓɼͦͷάϥϑӈԼΓͷܗঢ়
Λࣔ͢ɽಛʹɼx → ∞ ͷ߹ʹ͓͍ͯ f
0(x) → 0 Ͱ͋Δɽ
(a) α < 1 ͷ߹ʢඇ༗քʣ
x → 0 ʹ͓͍ͯ f
0(x) → ∞ Ͱ͋Δɽ (b) α = 1 ͷ߹ʢ༗քɼඪ४ࢦʣ
x → 0 ʹ͓͍ͯ f
0(x) → 1 Ͱ͋Δɽ͜ͷ߹ɼඪ४ΨϯϚ
ඪ४ࢦʹؼண͢Δɽ 2. α > 1 ͷ߹ʢ୯ๆܕʣ
ີؔ f
0(x) x = x
mΛ࠷େʢ࠷සʣͱͯ͠ɼͦͷάϥϑ
୯ๆܕͷܗঢ়Λࣔ͢ɿ
x
m= α − 1.
·ͨɼ͜ͷ߹ɼx → 0 ͘͠ x → ∞ ͷ͍ͣΕͷ߹ʹ͓͍ͯ
f
0(x) → 0 Ͱ͋Δ
3ɽ
͜ΕʹΑΓɼܗঢ় α ͕େ͖͘ͳΔʹͭΕͯɼີؔͷ࠷େʢ࠷
සʣେ͖͘ͳΓແݶେʹൃࢄ͢Δ͜ͱ͕͔Δɿ x
m= α − 1 −−−−→ ∞
α→∞.
ͳ͓ɼີؔͷ࠷େ f
0(x
m) = (α − 1)
α−1e
−(α−1)/Γ(α) ͱͳΔɽ·
ͨɼඪ४ΨϯϚ (5) ࣜͷظͱࢄʹ͍ͭͯ (9) ࣜʹΑΓ α → ∞ ͷ࣌ʹແݶେʹൃࢄ͢Δͱ͔Δɿ
E(X) = V (X) = α −−−−→ ∞
α→∞.
͜ΕΒͷࣄ࣮ʹ͍ͭͯɼਤ 5 ਤ 6 ͔Βཧղ͞ΕΔʢิ B ࢀরʣɽ
ͯ͞ɼඪ४ΨϯϚͷҐஔईͷີؔ (12) ࣜͷάϥϑͷܗ ঢ়ʹ͍ͭͯɼ໋ 2 ʹ͓͍ͯ γ = 1 ͱஔ͚ɼͦͷ݁ͦͷ··ʹ
ཱ͢Δɽͭ·ΓɼҐஔ μ ͱई σ ͕ີؔ (12) ࣜͷάϥϑͷܗ ঢ়ʹٴ΅͢Өڹ໋ 2 ͷ݁ͱશ͘ಉ͡Ͱ͋ΔɽΑͬͯɼҐஔີ
3x→0ʹ͓͍ͯີؔf0(x)͕0ʹऩଋ͢Δࡍɼͦͷ͖ɼα <2ͷ߹ʹແݶେ
ʹൃࢄ͠ʢf0(x)−−−→ ∞x→0 ʣɼα= 2ͷ߹ʹఆʹऩଋ͠ʢf0(x)−−−→x→0 1ʣɼα >2ͷ
߹ʹ0ʹऩଋ͢Δʢf0(x)−−−→x→0 0ʣͱ͍͏ܗΛऔΔʢਤ5ɼਤ10ɼਤ11ࢀরʣɽ
ؔͷάϥϑΛࠨӈʹฏߦҠಈͤ͞Δʢਤ 7ɼਤ 8ɼਤ 20 ࢀরʣɽ·ͨɼ ईʹ͍ͭͯɼσ < τ Ͱ͋Δ 2 ͭͷई σ ͱ τ ʹରͯ͠ɼy ͕ Ұఆͷ μ + y
στΑΓখ͍͞߹ʹ f (y | α, 1, μ, σ) > f (y | α, 1, μ, τ )ɼେ
͖͍߹ʹ f (y | α, 1, μ, σ) < f (y | α, 1, μ, τ) Ͱ͋Γɼy = μ + y
στͷ
߹ʹ f (y | α, 1, μ, σ) = f(y | α, 1, μ, τ) Ͱ͋Δʢਤ 9ɼਤ 10ɼਤ 11ɼਤ 21
ࢀরʣ ɿ
y
στ:= αστ τ − σ log τ
σ .
ຊઅͷ࠷ޙʹɼඪ४ΨϯϚͷҐஔईͷಛघͳ߹ͱͯ͠ɼࣗ༝
n ͷΧΠ 2 ͷܗঢ়ʹ͍ͭͯݴٴ͢Δɽࣗ༝ n ͷΧΠ 2 ͱɼ ඪ४ΨϯϚͷҐஔई (12) ࣜʹ͓͍ͯ α = n/2, σ = 2, μ = 0 ͱͨ͠߹ʹଞͳΒͳ͍ͷͰɼͦͷີؔͷάϥϑͷܗঢ়ɼܥ 1 ʹ ΑΓɼࣗ༝͕ 2 ҎԼͰ͋Ε୯ௐݮগͰ͋Γɼࣗ༝͕ 2 ΑΓେͰ͋Ε
୯ๆܕͰ͋Δͱ͔Δʢਤ 12 ࢀরʣɽ
3.2.2 α = 1 ͷ߹ɿ Weibull
(4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷີؔ f
0ɼα = 1 ͱͨ͠
߹ɼ(6) ࣜͰݟͨΑ͏ʹඪ४ Weibull ͷີؔʹؼண͢ΔɽΑͬͯɼ
໋ 1 ͷܥͱͯ͠ҎԼͷ݁Ռʢܥ 2ʣ͕ಘΒΕΔɽ࣮ࡍɼα = 1 ͷ߹ɼҰ ൠԽΨϯϚͷີؔ f
0ඪ४ Weibull ͷີؔʹؼண͢Δͷ Ͱɼͦͷ 1 ֊ಋؔ
f
0(x) = γ[(γ − 1) − γx
γ]x
γ−2e
−xγͱ؆୯Խ͞Εɼͦͷ૿ݮදද 5 ʹ༩͑ΒΕΔʢิ A ࢀরʣɽ
ܥ 2 (ඪ४ Weibull ͷܗঢ়) . (6) ࣜͰఆٛ͞ΕΔඪ४ Weibull ͷ
ີؔ f
0ͷάϥϑ { (x, f
0(x | 1, γ)) | x ∈ (0, ∞ ) } ͷܗঢ়ɼਖ਼ͷܗঢ়
γ > 0 ʹԠͯ͡ҎԼͷΑ͏ʹఆ·Δʢਤ 13 ࢀরʣɽୠ͠ɼҎԼͰ
f
0(x) := f
0(x | 1, γ) ͱུه͢Δɽͳ͓ɼਤʹ͍ͭͯิ B Λࢀর͞Ε
͍ͨɽ
1. γ ≤ 1 ͷ߹ʢ୯ௐݮগܕʣ
ີؔ f
0(x) ୯ௐݮগؔͰ͋ΓɼͦͷάϥϑӈԼΓͷܗঢ় Λࣔ͢ɽಛʹɼx → ∞ ͷ߹ʹ͓͍ͯ f
0(x) → 0 Ͱ͋Δɽ
(a) γ < 1 ͷ߹ʢඇ༗քʣ
x → 0 ʹ͓͍ͯ f
0(x) → ∞ Ͱ͋Δɽ (b) γ = 1 ͷ߹ʢ༗քɼඪ४ࢦʣ
x → 0 ʹ͓͍ͯ f
0(x) → 1 Ͱ͋Δɽ͜ͷ߹ɼඪ४ Weibull
ඪ४ࢦʹؼண͢Δɽ 2. γ > 1 ͷ߹ʢ୯ๆܕʣ
ີؔ f
0(x) x = x
mΛ࠷େʢ࠷සʣͱͯ͠ɼͦͷάϥϑ
୯ๆܕͷܗঢ়Λࣔ͢ɿ
x
m=
γ − 1 γ
1γ.
·ͨɼ͜ͷ߹ɼx → 0 ͘͠ x → ∞ ͷ͍ͣΕͷ߹ʹ͓͍ͯ
f
0(x) → 0 Ͱ͋Δ
4ɽ
ܗঢ় γ ͕େ͖͘ͳΔʹͭΕͯɼີؔͷ࠷େʢ࠷සʣ 1 ʹ ऩଋ͢Δʢྫ͑ɼJohnson, Kotz and Balakrishnan 1994, p.630 ࢀরʣ ɿ
x
m=
1 − 1 γ
γ1−−−−→
γ→∞1.
ͳ͓ɼີؔͷ࠷େ f
0(x
m) = γ(1 − 1/γ)
1−1/γe
−(1−1/γ)ͱͳΔɽ·
ͨɼඪ४ Weibull (6) ࣜͷظͱࢄʹ͍ͭͯɼΓ(1) = 1 ʹҙ
͢Δͱɼ(10) ࣜʹΑΓ γ → ∞ ͷ࣌ʹͦΕͧΕ 1 ͱ 0 ʹऩଋ͢Δͱ͔Δɿ E(X) = Γ
1 + 1
γ
−−−−→
γ→∞Γ(1) = 1,
V (X ) = Γ
1 + 2 γ
−
Γ
1 + 1 γ
2−−−−→
γ→∞Γ(1) − [Γ(1)]
2= 0.
4x→0ʹ͓͍ͯີؔf0(x)͕0ʹऩଋ͢Δࡍɼͦͷ͖ɼγ <2ͷ߹ʹແݶେ
ʹൃࢄ͠ʢf0(x)−−−→ ∞x→0 ʣɼγ= 2ͷ߹ʹఆʹऩଋ͠ʢf0(x)−−−→x→0 2ʣɼγ >2ͷ
߹ʹ0ʹऩଋ͢Δʢf0(x)−−−→x→0 0ʣͱ͍͏ܗΛऔΔʢਤ13ɼਤ18ɼਤ19ࢀরʣɽ
͜ΕΒͷࣄ࣮ʹ͍ͭͯɼਤ 13 ਤ 14 ͔Βཧղ͞ΕΔʢิ B ࢀরʣɽ
࠷ޙʹɼඪ४ Weibull ͷҐஔईͷີؔ (13) ࣜͷάϥϑ ͷܗঢ়ʹ͍ͭͯɼ໋ 2 ʹ͓͍ͯ α = 1 ͱஔ͚ɼͦͷ݁ͦͷ··
ʹཱ͢Δɽͭ·ΓɼҐஔ μ ͱई σ ͕ີؔ (13) ࣜͷάϥϑ ͷܗঢ়ʹٴ΅͢Өڹ໋ 2 ͷ݁ͱશ͘ಉ͡Ͱ͋ΔɽΑͬͯɼҐஔ
ີؔͷάϥϑΛࠨӈʹฏߦҠಈͤ͞Δʢਤ 15ɼਤ 16ɼਤ 20 ࢀরʣɽ
·ͨɼईʹ͍ͭͯɼσ < τ Ͱ͋Δ 2 ͭͷई σ ͱ τ ʹରͯ͠ɼ y ͕Ұఆͷ μ + y
στΑΓখ͍͞߹ʹ f (y | 1, γ, μ, σ) > f(y | 1, γ, μ, τ )ɼ
େ͖͍߹ʹ f (y | 1, γ, μ, σ) < f (y | 1, γ, μ, τ ) Ͱ͋Γɼy = μ + y
στͷ
߹ʹ f (y | 1, γ, μ, σ) = f (y | 1, γ, μ, τ) Ͱ͋Δʢਤ 17ɼਤ 18ɼਤ 19ɼਤ 21
ࢀরʣ ɿ
y
στ:=
γσ
γτ
γτ
γ− σ
γlog τ
σ
γ1.
4 ݁
ແݶ۠ؒ (0, ∞ ) ্ʹఆٛ͞ΕΔҰൠԽΨϯϚɼͦͷಛघͳ߹ͱ
ͯ͠ɼΨϯϚΛ࢝Ίͱͯ͠ΧΠ 2 Weibull ɼࢦΛ แؚ͢Δɽຊߘɼͦͷͷܗঢ়Λମܥతʹݕ౼͠ɼͦͷ݁Ռͱͯ͠ಘ ΒΕͨݟΛ໋ 1 ໋ 2ɼܥ 1ɼܥ 2 ͱͯ͠ཧͨ͠ɽଈͪɼҰൠԽ ΨϯϚͷີؔͷܗঢ়ʹ͍ͭͯɼ໋ 1 ʹ͓͍ͯ 2 ͭͷܗঢ়ͱ ͷؔΛఏࣔ͠ɼ໋ 2 ʹ͓͍ͯҐஔͱईͱͷؔΛఏࣔͨ͠ɽ
·ͨɼͦͷಛघͳ߹ͱͯ͠ɼΨϯϚʹ͍ͭͯͷݟΛܥ 1ɼWeibull
ʹ͍ͭͯͷݟΛܥ 2 ͱͯ͠ఏࣔͨ͠ɽߋʹɼͦΕΒͷಛघͳ߹ͱ
ͯ͠ɼΧΠ 2 ࢦͷܗঢ়ʹ͍ͭͯݴٴͨ͠ɽ
ࢀߟจݙ
ݘҪమʢ1962ʣʰಛघവʱؠॻళɽ
ਿӜޫʢ1980ʣʰղੳೖ Iʱ౦ژେֶग़൛ձɽ
ຸ୩ઍ႗ʢ2010ʣʰ౷ܭϋϯυϒοΫʢ૿ิ൛ʣʱேॻళɽ Forbes, C., M. Evans, N. Hastings and B. Peacock (2011) Statistical Distributions, 4th edition , John Wiley & Sons.
Johnson, N. L. and S. Kotz (1972) “Power transformations of gamma variables”, Biometrika , 59, 226–229.
Johnson, N. L., S. Kotz and N. Balakrishnan (1994) Continuous Uni- variate Distributions, Volume 1, 2nd edition , John Wiley & Sons.
Khodabin, M. and A. Ahmadabadi (2010) “Some properties of general- ized gamma distribution”, Mathematical Sciences , 4, 9–28.
Stacy, E. W. (1962) “A generalization of the gamma distribution”, The
Annals of Mathematical Statistics , 33, 1187–1192.
A ҰൠԽΨϯϚͷີؔͷ૿ݮද
ຊิɼ(4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷඪ४ܕͷີؔ
f
0(x | α, γ), x ∈ (0, ∞ ) ͷ૿ݮදΛఏࣔ͢Δɽ͜ΕʹΑΓɼ2 ͭͷܗঢ়
α, γ > 0 ͱີؔ f
0ͷάϥϑͷܗঢ়ͱͷ͕ؔ໌Β͔ʹͳΔʢ໋ 1ɼ
ܥ 1ɼܥ 2ʣɽ
A.1 Ұൠͷ߹ɿҰൠԽΨϯϚͷඪ४ܕ
ද 1: ҰൠԽΨϯϚͷີؔ f
0(x) ͷ૿ݮදʢγα < 1 ͷ߹ʣ x 0 · · · ∞
f
0−∞ − 0
f
0∞ 0
ද 2: ҰൠԽΨϯϚͷີؔ f
0(x) ͷ૿ݮදʢγα = 1 ͷ߹ʣɿࠨ දʢγ < 1 ⇐⇒ α > 1 ͷ߹ʣɼதදʢγ = 1 ⇐⇒ α = 1 ͷ߹ʣɼӈද ʢγ > 1 ⇐⇒ α < 1 ͷ߹ʣ
x 0 · · · ∞
f
0−∞ − 0
f
01/Γ(α + 1) 0
x 0 · · · ∞ f
0− 1 − 0
f
01 0
x 0 · · · ∞
f
00 − 0
f
01/Γ(α + 1) 0
ද 3: ҰൠԽΨϯϚͷີؔ f
0(x) ͷ૿ݮදʢγα > 1 ͷ߹ʣ x 0 · · · (α − 1/γ)
1/γ· · · ∞
f
0∗ + 0 − 0
f
00 0
∗ = ∞ ʢγα < 2 ͷ࣌ʣɼ 2/Γ(α + 1) ʢγα = 2 ͷ࣌ʣɼ 0 ʢγα > 2 ͷ࣌ʣ
A.2 ز͔ͭͷಛघͳ߹
A.2.1 γ = 1 ͷ߹ɿඪ४ΨϯϚ
ද 4: ඪ४ΨϯϚͷ૿ݮදɿ্ஈࠨදʢα < 1 ͷ߹ʣɼ্ஈӈදʢα = 1 ͷ߹ɼඪ४ࢦʣɼԼஈදʢα > 1 ͷ߹ʣ
x 0 · · · ∞
f
0−∞ − 0
f
0∞ 0
x 0 · · · ∞ f
0− 1 − 0
f
01 0
x 0 · · · α − 1 · · · ∞
f
0∗ + 0 − 0
f
00 0
∗ = ∞ ʢα < 2 ͷ࣌ʣɼ 1 ʢα = 2 ͷ࣌ʣɼ 0 ʢα > 2 ͷ࣌ʣ
A.2.2 α = 1 ͷ߹ɿඪ४ Weibull
ද 5: ඪ४ Weibull ͷ૿ݮදɿ্ஈࠨදʢγ < 1 ͷ߹ʣɼ্ஈӈද ʢγ = 1 ͷ߹ɼඪ४ࢦʣɼԼஈදʢγ > 1 ͷ߹ʣ
x 0 · · · ∞
f
0−∞ − 0
f
0∞ 0
x 0 · · · ∞ f
0− 1 − 0
f
01 0
x 0 · · · (1 − 1/γ)
1/γ· · · ∞
f
0∗ + 0 − 0
f
00 0
∗ = ∞ ʢγ < 2 ͷ࣌ʣɼ 2 ʢγ = 2 ͷ࣌ʣɼ 0 ʢγ > 2 ͷ࣌ʣ
B ҰൠԽΨϯϚͷີؔͷάϥϑ
ຊิͰఏࣔ͢Δਤશͯ Maple 6 ʹΑΔͷͰ͋Δɽ
B.1 Ұൠͷ߹ɿҰൠԽΨϯϚ
ຊઅɼ (4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷඪ४ܕͷີؔ f
0(x | α, γ ) ͷάϥϑΛਤࣔ͢Δʢԣ࣠ɿxɼॎ࣠ɿf
0(x | α, γ)ʣɽ
0 0.5 1 1.5
2 2.5
0.5 1 1.5 2 2.5
ਤ 1: ҰൠԽΨϯϚͷඪ४ܕͷີؔʢαγ < 1 ͷ߹ʣ ɿ α = γ = 1/2 ʢଠ࣮ઢʣɼα = 1/2, γ = 1ʢଠઢʣɼα = 1/2, γ = 3/2ʢ࣮ઢʣɼ
α = 1, γ = 1/2ʢઢʣɼα = 3/2, γ = 1/2ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1 1.2
0.5 1 1.5 2 2.5 3
ਤ 2: ҰൠԽΨϯϚͷඪ४ܕͷີؔʢαγ = 1 ͷ߹ʣ ɿ α = 1/3, γ =
3 ʢଠ࣮ઢʣɼ α = 1/2, γ = 2 ʢଠઢʣɼ α = γ = 1 ʢ࣮ઢʣɼ α = 2, γ = 1/2
ʢઢʣɼα = 3, γ = 1/3ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1
1 2 3 4 5
ਤ 3: ҰൠԽΨϯϚͷඪ४ܕͷີؔʢαγ > 1 ͷ߹ʣ ɿ α = 1/2, γ = 5/2ʢଠ࣮ઢʣɼα = 1, γ = 2ʢଠઢʣɼα = γ = 2ʢ࣮ઢʣɼα = 2, γ = 1 ʢઢʣɼα = 5/2, γ = 1/2ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1 1.2 1.4
0.5 1 1.5 2 2.5 3
ਤ 4: ҰൠԽΨϯϚͷඪ४ܕͷີؔʢαγ > 1 ͷ߹ʣ ɿα = γ = 2
ʢଠ࣮ઢʣɼα = 2, γ = 3ʢଠઢʣɼα = 3, γ = 2ʢ࣮ઢʣɼα = γ = 3
ʢઢʣɼα = γ = 5/2ʢࡉ࣮ઢʣ
B.2 ز͔ͭͷಛघͳ߹
B.2.1 γ = 1 ͷ߹ɿΨϯϚ
ຊઅɼ(12) ࣜͰఆٛ͞ΕΔඪ४ΨϯϚͷҐஔईͷີؔ
f (y | α, 1, μ, σ) ͷάϥϑΛਤࣔ͢Δʢԣ࣠ɿyɼॎ࣠ɿf (y | α, 1, μ, σ)ʣɽ
0 0.2 0.4 0.6 0.8 1 1.2
2 4 6 8 10
ਤ 5: ΨϯϚͷີؔʢμ = 0, σ = 1ʣ ɿα = 1/2ʢଠ࣮ઢʣɼα = 1 ʢଠઢɼࢦʣɼα = 3/2ʢ࣮ઢʣɼα = 2ʢઢʣɼα = 3ʢࡉ࣮ઢʣɼ
α = 5ʢࡉઢʣ
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2
10 20 30 40 50 60 70
ਤ 6: ΨϯϚͷີؔʢμ = 0, σ = 1ʣ ɿα = 5ʢ࣮ઢʣɼα = 10ʢ
ઢʣɼα = 20ʢࡉ࣮ઢʣɼα = 50ʢࡉઢʣ
0 0.2 0.4 0.6 0.8 1
–1 1 2 3 4 5
ਤ 7: ΨϯϚͷີؔʢα = 1/2, σ = 1ʣ ɿμ = − 1ʢ࣮ઢʣɼμ = 0 ʢઢʣɼμ = 1ʢࡉ࣮ઢʣ
0 0.1 0.2 0.3 0.4
2 4 6 8
ਤ 8: ΨϯϚͷີؔʢα = 2, σ = 1ʣ ɿμ = − 1ʢ࣮ઢʣɼμ = 0ʢ
ઢʣɼμ = 1ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1 1.2 1.4
0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
ਤ 9: ΨϯϚͷີؔʢα = 1/2, μ = 0ʣ ɿσ = 1/2ʢ࣮ઢʣɼσ = 1 ʢઢʣɼσ = 2ʢࡉ࣮ઢʣ
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
2 4 6 8 10
ਤ 10: ΨϯϚͷີؔʢα = 2, μ = 0ʣ ɿσ = 1/2ʢ࣮ઢʣɼσ = 1
ʢઢʣɼσ = 2ʢࡉ࣮ઢʣ
0 0.1 0.2 0.3 0.4
2 4 6 8 10 12 14 16 18 20
ਤ 11: ΨϯϚͷີؔʢα = 5, μ = 0ʣ ɿσ = 1/2ʢ࣮ઢʣɼσ = 1 ʢઢʣɼσ = 2ʢࡉ࣮ઢʣ
0 0.1 0.2 0.3 0.4 0.5 0.6
2 4 6 8 10 12 14 16 18 20
ਤ 12: ΨϯϚͷີؔʢα = n/2, μ = 0, σ = 2ɼࣗ༝ n ͷΧΠ 2
ʣ ɿn = 1ʢଠ࣮ઢʣɼn = 2ʢଠઢʣɼn = 3ʢ࣮ઢʣɼn = 4ʢ
ઢʣɼn = 5ʢࡉ࣮ઢʣɼn = 10ʢࡉઢʣ
B.2.2 α = 1 ͷ߹ɿ Weibull
ຊઅɼ(13) ࣜͰఆٛ͞ΕΔඪ४ Weibull ͷҐஔईͷີ
ؔ f (y | 1, γ, μ, σ) ͷάϥϑΛਤࣔ͢Δʢԣ࣠ɿyɼॎ࣠ɿf(y | 1, γ, μ, σ)ʣɽ
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
0.5 1 1.5 2 2.5
ਤ 13: Weibull ͷີؔʢμ = 0, σ = 1ʣ ɿγ = 1/2ʢଠ࣮ઢʣɼγ = 1 ʢଠઢɼࢦʣɼγ = 3/2ʢ࣮ઢʣɼγ = 2ʢઢʣɼγ = 3ʢࡉ࣮ઢʣɼ
γ = 5ʢࡉઢʣ
0 1 2 3 4 5 6 7
0.2 0.4 0.6 0.8 1 1.2 1.4
ਤ 14: Weibull ͷີؔʢμ = 0, σ = 1ʣ ɿγ = 5ʢ࣮ઢʣɼγ = 10
ʢઢʣɼγ = 20ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1
–1 1 2 3 4 5
ਤ 15: Weibull ͷີؔʢγ = 1/2, σ = 1ʣ ɿμ = − 1ʢ࣮ઢʣɼ μ = 0 ʢઢʣɼμ = 1ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8
–1 1 2 3 4
ਤ 16: Weibull ͷີؔʢγ = 2, σ = 1ʣ ɿμ = − 1ʢ࣮ઢʣɼμ = 0
ʢઢʣɼμ = 1ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1
0.5 1 1.5 2 2.5 3
ਤ 17: Weibull ͷີؔʢγ = 1/2, μ = 0ʣ ɿσ = 1/2ʢ࣮ઢʣɼσ = 1 ʢઢʣɼσ = 2ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8
1 2 3 4 5
ਤ 18: Weibull ͷີؔʢγ = 2, μ = 0ʣ ɿσ = 1/2ʢ࣮ઢʣɼσ = 1
ʢઢʣɼσ = 2ʢࡉ࣮ઢʣ
0 1 2 3 4
0.5 1 1.5 2 2.5 3
ਤ 19: Weibull ͷີؔʢγ = 5, μ = 0ʣ ɿσ = 1/2ʢ࣮ઢʣɼσ = 1 ʢઢʣɼσ = 2ʢࡉ࣮ઢʣ
B.2.3 α = γ = 1 ͷ߹ɿࢦ
ຊઅɼ(14) ࣜͰఆٛ͞ΕΔඪ४ࢦͷҐஔईͷີؔ
f (y | 1, 1, μ, σ) ͷάϥϑΛਤࣔ͢Δʢԣ࣠ɿyɼॎ࣠ɿf (y | 1, 1, μ, σ)ʣɽ
0 0.2 0.4 0.6 0.8 1
–1 1 2 3 4 5
ਤ 20: ࢦͷີؔʢσ = 1ʣɿμ = − 1ʢ࣮ઢʣɼμ = 0ʢઢʣɼ
μ = 1ʢࡉ࣮ઢʣ
0 0.5 1 1.5
2
1 2 3 4 5
ਤ 21: ࢦͷີؔʢμ = 0ʣɿσ = 1/2ʢ࣮ઢʣɼσ = 1ʢઢʣɼ σ = 2ʢࡉ࣮ઢʣ
B.2.4 ͦͷଞͷ߹
ຊઅɼ (4) ࣜͰఆٛ͞ΕΔҰൠԽΨϯϚͷඪ४ܕͷີؔ f
0(x | α, γ) ͷάϥϑΛਤࣔ͢Δʢԣ࣠ɿxɼॎ࣠ɿf
0(x | α, γ)ʣɽ
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
ਤ 22: ҰൠԽΨϯϚͷີؔʢα = 1/2 ͷ߹ʣ ɿ γ = 1/2ʢଠ࣮ઢʣɼ
γ = 1ʢଠઢʣɼγ = 2ʢ࣮ઢʣɼγ = 3ʢઢʣɼγ = 4ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1 1.2 1.4
1 2 3 4 5 6
ਤ 23: ҰൠԽΨϯϚͷີؔʢα = 2 ͷ߹ʣ ɿγ = 1/3ʢଠ࣮ઢʣɼ γ = 1/2ʢଠઢʣɼγ = 1ʢ࣮ઢʣɼγ = 2ʢઢʣɼγ = 3ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1
1 2 3 4 5 6 7 8
ਤ 24: ҰൠԽΨϯϚͷີؔʢγ = 1/2 ͷ߹ʣ ɿ α = 1/2ʢଠ࣮ઢʣɼ
α = 1ʢଠઢʣɼα = 2ʢ࣮ઢʣɼα = 3ʢઢʣɼα = 4ʢࡉ࣮ઢʣ
0 0.2 0.4 0.6 0.8 1 1.2 1.4
0.5 1 1.5 2 2.5 3