Probability and Statistics 2

2011-01-23 10:49 pm

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更新1:

我唔係好明y[-(1 - F(y)] | [0, +∞] = 0 呢度...你可唔可以再詳細講下? THX=]

回答 (1)

2011-01-24 12:33 am
✔ 最佳答案
(a) E(Y)

= ∫ yf(y) dy (from 0 -> +∞)

= ∫ y d[-(1 - F(y)]

= y[-(1 - F(y)] | [0, +∞] + ∫ (1 - F(y) dy...(*)

Consider b[-(1 - F(b)] where b is a positive constant

b[(1 - F(b)]

= ∫ b f(y) dy (from b -> +∞)

< ∫ y f(y) dy

So, since E(Y) < +∞, the last integral will tend to 0 when b -> + ∞

Thus, y[-(1 - F(y)] | [0, +∞] = 0 and

(*) becomes E(Y)

= ∫ (1 - F(y) dy

= P(Y > y) dy

(b) ∫ P(Y < -y) dy (from 0 -> +∞)

= ∫ F(-y) dy

= yF(-y) | [0,+∞] + ∫ yf(-y) dy

= ∫ yf(-y) dy

= ∫ xf(x) dx (from 0 to -∞ , after letting x = -y)

= -∫ xf(x) dx (from -∞ to 0)

E(Y)

= ∫ yf(y) dy (from -∞ -> +∞)

= ∫ yf(y) dy (from 0 -> +∞) + ∫ yf(y) dy (from -∞ -> 0)

= ∫ P(Y > y) dy (from 0 -> +∞) - ∫ P(Y < -y) dy (from 0 -> +∞)


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