Copyright | Copyright (c) 2009-2015, David Sorokin <david.sorokin@gmail.com> |
---|---|

License | BSD3 |

Maintainer | David Sorokin <david.sorokin@gmail.com> |

Stability | experimental |

Safe Haskell | None |

Language | Haskell2010 |

Tested with: GHC 7.10.1

This module defines helper functions, which are useful to hold
the `Process`

computation for a time interval according to some
random distribution.

- randomUniformProcess :: MonadDES m => Double -> Double -> Process m Double
- randomUniformProcess_ :: MonadDES m => Double -> Double -> Process m ()
- randomUniformIntProcess :: MonadDES m => Int -> Int -> Process m Int
- randomUniformIntProcess_ :: MonadDES m => Int -> Int -> Process m ()
- randomTriangularProcess :: MonadDES m => Double -> Double -> Double -> Process m Double
- randomTriangularProcess_ :: MonadDES m => Double -> Double -> Double -> Process m ()
- randomNormalProcess :: MonadDES m => Double -> Double -> Process m Double
- randomNormalProcess_ :: MonadDES m => Double -> Double -> Process m ()
- randomLogNormalProcess :: MonadDES m => Double -> Double -> Process m Double
- randomLogNormalProcess_ :: MonadDES m => Double -> Double -> Process m ()
- randomExponentialProcess :: MonadDES m => Double -> Process m Double
- randomExponentialProcess_ :: MonadDES m => Double -> Process m ()
- randomErlangProcess :: MonadDES m => Double -> Int -> Process m Double
- randomErlangProcess_ :: MonadDES m => Double -> Int -> Process m ()
- randomPoissonProcess :: MonadDES m => Double -> Process m Int
- randomPoissonProcess_ :: MonadDES m => Double -> Process m ()
- randomBinomialProcess :: MonadDES m => Double -> Int -> Process m Int
- randomBinomialProcess_ :: MonadDES m => Double -> Int -> Process m ()
- randomGammaProcess :: MonadDES m => Double -> Double -> Process m Double
- randomGammaProcess_ :: MonadDES m => Double -> Double -> Process m ()
- randomBetaProcess :: MonadDES m => Double -> Double -> Process m Double
- randomBetaProcess_ :: MonadDES m => Double -> Double -> Process m ()
- randomWeibullProcess :: MonadDES m => Double -> Double -> Process m Double
- randomWeibullProcess_ :: MonadDES m => Double -> Double -> Process m ()
- randomDiscreteProcess :: MonadDES m => DiscretePDF Double -> Process m Double
- randomDiscreteProcess_ :: MonadDES m => DiscretePDF Double -> Process m ()

# Documentation

:: MonadDES m | |

=> Double | the minimum time interval |

-> Double | the maximum time interval |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval distributed uniformly.

Hold the process for a random time interval distributed uniformly.

randomUniformIntProcess Source

:: MonadDES m | |

=> Int | the minimum time interval |

-> Int | the maximum time interval |

-> Process m Int | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval distributed uniformly.

randomUniformIntProcess_ Source

Hold the process for a random time interval distributed uniformly.

randomTriangularProcess Source

:: MonadDES m | |

=> Double | the minimum time interval |

-> Double | a median of the time interval |

-> Double | the maximum time interval |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval having the triangular distribution.

randomTriangularProcess_ Source

:: MonadDES m | |

=> Double | the minimum time interval |

-> Double | a median of the time interval |

-> Double | the maximum time interval |

-> Process m () |

Hold the process for a random time interval having the triangular distribution.

:: MonadDES m | |

=> Double | the mean time interval |

-> Double | the time interval deviation |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval distributed normally.

Hold the process for a random time interval distributed normally.

:: MonadDES m | |

=> Double | the mean for a normal distribution which this distribution is derived from |

-> Double | the deviation for a normal distribution which this distribution is derived from |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval having the lognormal distribution.

randomLogNormalProcess_ Source

:: MonadDES m | |

=> Double | the mean for a normal distribution which this distribution is derived from |

-> Double | the deviation for a normal distribution which this distribution is derived from |

-> Process m () |

Hold the process for a random time interval having the lognormal distribution.

randomExponentialProcess Source

:: MonadDES m | |

=> Double | the mean time interval (the reciprocal of the rate) |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate).

randomExponentialProcess_ Source

Hold the process for a random time interval distributed exponentially with the specified mean (the reciprocal of the rate).

:: MonadDES m | |

=> Double | the scale (the reciprocal of the rate) |

-> Int | the shape |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters.

Hold the process for a random time interval having the Erlang distribution with the specified scale (the reciprocal of the rate) and shape parameters.

:: MonadDES m | |

=> Double | the mean time interval |

-> Process m Int | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval having the Poisson distribution with the specified mean.

Hold the process for a random time interval having the Poisson distribution with the specified mean.

:: MonadDES m | |

=> Double | the probability |

-> Int | the number of trials |

-> Process m Int | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval having the binomial distribution with the specified probability and trials.

Hold the process for a random time interval having the binomial distribution with the specified probability and trials.

:: MonadDES m | |

=> Double | the shape |

-> Double | the scale (a reciprocal of the rate) |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval having the Gamma distribution with the specified shape and scale.

Hold the process for a random time interval having the Gamma distribution with the specified shape and scale.

:: MonadDES m | |

=> Double | the shape (alpha) |

-> Double | the shape (beta) |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval having the Beta distribution with the specified shape parameters (alpha and beta).

Hold the process for a random time interval having the Beta distribution with the specified shape parameters (alpha and beta).

:: MonadDES m | |

=> Double | the shape |

-> Double | the scale |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval having the Weibull distribution with the specified shape and scale.

Hold the process for a random time interval having the Weibull distribution with the specified shape and scale.

:: MonadDES m | |

=> DiscretePDF Double | the discrete probability density function |

-> Process m Double | a computation of the time interval for which the process was actually held |

Hold the process for a random time interval having the specified discrete distribution.

:: MonadDES m | |

=> DiscretePDF Double | the discrete probability density function |

-> Process m () |

Hold the process for a random time interval having the specified discrete distribution.