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iid
conclusion
UE and another condition
smooth condition
Fisher 信息量
regular condition
biased
unbiased | UE
estimable
相对效率 = MSEM / MSEM
MESM = Var + bias^2
MESM = Var
multivariate normal
gamma
Z
beta
cauchy
normal
F
t
x2
exponential
uniform
multinomial
0-1-...-k
poisson
binomial
0-1
# ordered is sufficient
4
empirical distribution function
3
sample kurtosis
sample skewness
sample coefficient of variation
2
sample p-fractile / p-quantile
extreme of sample
sample median
ordered statistics
1
sample covariance / relavant
sample moment
sample variation / sd
sample mean
simple random sample
i.i.d.
distribution family
exponential family