## Abstract

An illustrative analysis is presented demonstrating the use of the Monte Carlo method in estimating the power of a test to detect deviations from distributional form. New estimates of power are obtained for the WE_{0} test, a statistical test used to assess a set of observed survival times for deviation from the exponential distribution. An IBM PC/AT was used to process a series of simulations, in which samples of survival times were drawn from a series of populations whose survival was distributed according to the gamma distribution. Each sample was then tested for difference from the exponential to see how often the WE_{0} test would correctly classify the sample as drawn from a non-exponential population.

Original language | English (US) |
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Pages (from-to) | 245-250 |

Number of pages | 6 |

Journal | Computer Methods and Programs in Biomedicine |

Volume | 29 |

Issue number | 4 |

DOIs | |

State | Published - Aug 1989 |

## All Science Journal Classification (ASJC) codes

- Software
- Computer Science Applications
- Health Informatics

## Keywords

- Exponential distribution
- Gamma distribution
- Monte Carlo simulation
- Statistical power
- Survival analysis
- WE test