设总体X的概率密度为f(x)=1⼀θ (0<x<=θ),θ>0,θ是未知参数(X1X2X3)是总体X的样本

2025-05-14 11:21:47
推荐回答(1个)
回答1:

Fx(x)=x/θ (0
let M~max(x1,x2,x3)
F m(m)=Fx1(m)Fx2(m)Fx3(m)= m^3/θ^3
f m(m)=3m^2/θ^3

E {m}= ∫(0~θ)3m^3/(θ^3)dm=3(m^4/4θ^3)|m~(0~θ)=(3/4)θ^4/θ^3=(3/4)θ

let N~min(x1,x2,x3)
Fn(n)=1-(1-Fx1(n))(1-Fx2(n))(1-Fx3(n))
fn(n)=F'n(n)
=-{(1-n/θ)^3}'
=-3(-1/θ)(1-n/θ)^2
=(3/θ)(1-n/θ)^2

E(n)=∫(0~θ)(3/θ)n(1-n/θ)^2 dn
=(3/θ)(n^2/2-2n^3/(3θ)+n^4/(4θ^2))|(0~θ)
=(3/θ)(1/2-2/3+1/4)θ^2
=(3θ/12)
=θ/4

检验以(4/3)m为估计量
E((4/3)m)=(4/3)E(m)=θ

检验以4n为估计量
E(4n)=4E(n)=θ

两个都是无偏估计,两个估计量的期望都是θ