10.1 TWO METHODS OF ESTIMATION 10.2 Confidence Interval 10.3 Small-Sample Confidence Intervals for parameters of no 2.the method of maximum likelihood (MLE) Let (X1,...,Xn)is a random sample from a population X. Suppose the probability density(mass)function of X is f(x:0),0e.We sometimes write the likelihood function as L(0)=L(0,x,…,xn)=n1f（x;) 4口t3,3元，王000 Xiaohan Yang Chapter 10 Point Estimation logo 10.1 TWO METHODS OF ESTIMATION 10.2 Confidence Interval 10.3 Small-Sample Confidence Intervals for parameters of normal population 2. the method of maximum likelihood (MLE) Let (X1, · · · , Xn) is a random sample from a population X. Suppose the probability density(mass) function of X is f (x; θ), θ ∈ Θ. We sometimes write the likelihood function as L(θ) = L(θ, x1, · · · , xn) ˆ=Πn i=1 f (xi ; θ) Xiaohan Yang Chapter 10 Point Estimation