with mean μ is ((μ ^ x) * ((exp) ^ -μ)) / x!

The log likelihood is x * log(μ) − μ. (Answer)

How do I arrive at the log likelihood provided?

Can I get a refresher on logs please?

Thanks in advance.

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- October 11th 2012, 12:36 PMdorkboyMaximum Likelihood Estimate For A Poisson Mass Function ...
with mean μ is ((μ ^ x) * ((exp) ^ -μ)) / x!

The log likelihood is x * log(μ) − μ. (Answer)

How do I arrive at the log likelihood provided?

Can I get a refresher on logs please?

Thanks in advance. - October 11th 2012, 03:46 PMchiroRe: Maximum Likelihood Estimate For A Poisson Mass Function ...
Hey dorkboy.

The log laws are such that log(xy) = log(x) + log(y) and log(a/b) = log(a) - log(b), and log(a^b) = b*log(a). - October 12th 2012, 04:19 AMdorkboyRe: Maximum Likelihood Estimate For A Poisson Mass Function ...
Thanks for the great summary chiro.