3. In genetic investigations, one frequently samples from a binomial distribution. Except that observations of x = 0 are impossible; so in fact, the sampling is from the conditional (truncated) distribution: f(x) = (n)²₁ - (1² pm ² p*(1-p) m-x Find the maximum likelihood estimator for p in the case of m= 2 samples of size n. -1(1,2,...,m) (x) 3

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3. In genetic investigations, one frequently samples from a binomial distribution. Except that observations
of x = 0 are impossible; so in fact, the sampling is from the conditional (truncated) distribution:
px
m-x
f(x) = (²-1² 1 (1.2) (x()
Find the maximum likelihood estimator for p in the case of m = 2 samples of size n.
3
Transcribed Image Text:3. In genetic investigations, one frequently samples from a binomial distribution. Except that observations of x = 0 are impossible; so in fact, the sampling is from the conditional (truncated) distribution: px m-x f(x) = (²-1² 1 (1.2) (x() Find the maximum likelihood estimator for p in the case of m = 2 samples of size n. 3
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