parameters estimation

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    Likelihood Function

    Can anyone help me understand this? Consider the four observations from de Normal Distribution with variance equal to one y1 < 10, y2 > 10, 5 < y3 < 10 and y4 = 10. The likelihood function is? Would be: Replacing: I want to know if this is correct or have another way of solving...
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    Methods of Estimating Parameters

    Hi All, I have a bimodal distribution and I'm trying to estimate the missing parameters. At the beginning I thought it was quite straightforward but it seems that it's quite complicate as the parameters are quite a lot. f(x)=p*f1(x)+(1-p)*f2(x) is the pdf with p as the mixing parameter...