A random experiment with two outcomes, success and failure, whose success indicator has a Bernoulli distribution. Repeated trials sharing success probability θ give a binomial distribution for their success count if they are independent conditional on θ; integrating over an uncertain common θ generally makes the trials dependent marginally.
Ancestors (8)
- Bernoulli distribution
- Discrete probability distribution
- Probability distribution
- Probability theory
- Probability and statistics
- Area of mathematics
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Incoming links (55)
- Bayes factor
- Bayesian posterior
- Bayesian statistics
- Bernoulli process
- Beta-binomial distribution
- Beta distribution
- Beta-geometric conjugacy
- Binomial distribution
- Binomial goodness-of-fit with an estimated parameter
- Central limit theorem
- Concentration of a beta prior near zero
- Conditional independence
- Conditioning on a sum can create dependence
- Continuity of probability
- Cost of trials until the first success
- Geometric distribution
- Hoeffding sample size for Bernoulli frequencies
- Infinitely many heads as a tail event
- Jeffreys prior for a Bernoulli parameter
- Likelihood function
- Log-likelihood
- Match win probability with a fixed winning score
- Maximum likelihood estimation
- Maximum-likelihood estimator
- Memorylessness of the geometric distribution
- Moment matching for a beta prior
- Multinomial distribution
- Negative binomial distribution
- Negative binomial stopping argument
- Order statistic
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- Random walk
- Return period
- Sampling without replacement need not be independent
- Second moment method
- Strong law of large numbers
- Success-failure stopping identity
- Synaptic vesicle
- Tail event
- Tail measurability of limits of sample averages
- Uniform-alternative binomial Bayes factor
- Uniform-count predictive property
- Wald's equation
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