4.设总体密度函数如下,x1,x2,···,xn是样本,试求未知参数的矩估计:-|||-(1) (x;theta )=dfrac (2)({theta )^2}(theta -x),0lt xlt theta ,theta gt 0;-|||-(2) (x;theta )=(theta +1)(x)^theta ,0lt xlt 1,theta gt 0;-|||-(3) (x;theta )=sqrt (theta )(x)^sqrt (a-1),0lt xlt 1,theta gt 0;-|||-(4) (x,theta ,mu )=dfrac (1)(theta )(e)^-dfrac (1-k{6)},xgt k,theta gt 0.

4.设总体密度函数如下,x1,···,xn是样本,试求未知参数的矩估计.-|||-(1) (x;theta )=dfrac (2)({theta )^2}(th

1.设总体概率函数如下,x1,x2,···,xn是样本,试求未知参数的最大似然估计.-|||-(1) (x:theta )=sqrt (theta )(x)^s

设总体 -U(theta ,3theta ), (X1,X2,···,Xn)为其样本,-|||-则未知参数0的矩估计为 ()-|||-4 x-|||-日 dfr

4.设总体X的分布密度函数为-|||-(x;theta )= (theta +1)(x)^0,0lt xlt 1-|||-0, 其他-|||-其中 theta

3.设总体X的概率密度函数为-|||-(x;theta )= ) (theta +1)(x)^theta ,0lt xlt 1 0, .-|||-其中 t

1.设总体概率函数如下,x1,···,xn是样本,试求未知参数的最大似然估计.-|||-(1) (x;theta )=sqrt (theta )(x)^sqrt

3.设总体X的概率密度函数为-|||-(x,theta )= ) theta (x)^theta -1, 0lt xlt 1 0, .-|||-X1,X

() 设X1,X2,···,Xn是来自概率密度为-|||-(x;theta )= ) theta (x)^theta -1, 0lt xlt 1 0, 的

九、设总体X的概率密度为-|||-f(x)= ) (1+theta )(x)^theta ,0lt xlt 1 0 .-|||-其中未知参数 gt -1,

(theta gt 0),-|||-X1,X2,···,Xn是来自总体X的样本,求未知参数θ的矩估计量.