Description Usage Arguments Details Value References Examples

Sample splitting, according to Hall, 2014.

1 | ```
splitSampleBinom(x, n)
``` |

`x` |
Number of successes |

`n` |
Number of trials |

These functions implement sample splitting of a binomial rate.

Note that the results depend on the state of the random number generator, and are therefore not strictly deterministic.

A vector with the rate *p = X/N*, obtained with
sample splitting.

Decrouez, Geoffrey, and Peter Hall. "Split Sample Methods for Constructing Confidence Intervals for Binomial and Poisson Parameters." Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2013, n/a–n/a. doi:10.1111/rssb.12051.

1 2 3 4 5 6 7 8 9 10 |

Rariant documentation built on Nov. 1, 2018, 2:25 a.m.

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