| 1. | The estimator of a mean of data from a Bernoulli distribution ).
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| 2. | Binary variables that are random variables are distributed according to a Bernoulli distribution.
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| 3. | For the multinomial distribution the analog to the Bernoulli Distribution is the categorical distribution.
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| 4. | They all have the same Bernoulli distribution.
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| 5. | The Bernoulli distribution is a special case of the binomial distribution with n = 1.
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| 6. | The Bernoulli distribution is the probability distribution of whether a Bernoulli trial is a success.
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| 7. | Equality holds only for the two point Bernoulli distribution or the sum of two different Dirac delta functions.
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| 8. | It reduces to the Bernoulli distribution as a special case when " n " = 1.
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| 9. | The "'categorical distribution "'is the generalization of the Bernoulli distribution for a die.
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| 10. | For discrete features like the ones encountered in document classification ( include spam filtering ), Bernoulli distributions are popular.
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