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3 terms

715 Lecture

"Epid 705 2010 lecture 6a post"
STUDY
PLAY
Characteristics of Bayesian Statistics (4)
1. prior probability distribution
2. likelihood function
3. posterior probability distribution
4. Central 95% posterior probability interval
Characteristics of Frequentist Statistics (5)
1. maximum likelihood estimate
2. median unbiased estimate
3. neyman-pearson hypothesis test (alpha, beta, test statistic)
4. Fisher significance test (p-value)
5. 95% CI
Definition of Likelihood (ME3 p. 164)
Likelihood of a specified parameter value given observed data is defined as the probability of the observed data given that the true parameter equals the specified parameter value.