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) = (x) 1-(1-p)m p*(1-p) m-x x/1-(1-p)m (1,2....mm) (x) Find the maximum likelihood estimator for p in the case of m= 2 samples of size n. 3
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) = (x) 1-(1-p)m p*(1-p) m-x x/1-(1-p)m (1,2....mm) (x) Find the maximum likelihood estimator for p in the case of m= 2 samples of size n. 3
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.4: Expected Value
Problem 1E: If a game gives payoffs of $10 and $100 with probabilities 0.9 and 0.1, respectively, then the...
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