The Exponential distribution is used to model Poisson processes, which are situations in which an object initially in state A can change to state B with constant probability per unit time lambda. The time at which the state actually changes is described by an exponential random variable with parameter lambda.
EasyFit allows to automatically or manually fit the Exponential distribution and 55 additional distributions to your data, compare the results, and select the best fitting model using the goodness of fit tests and interactive graphs. Watch the short video about EasyFit and get your free trial.
EasyFit displays all graphs and properties of the Exponential distribution, presenting the results in an easy to read & understand manner. EasyFit calculates statistical moments (mean, variance etc.), quantiles, tail probabilities depending on the distribution parameters you specify.
You can easily generate random numbers from the Exponential distribution in a variety of ways:
EasyFitXL enables you to use the following functions in your Excel sheets and VBA applications:
ExpPdf |
Probability Density Function |
ExpCdf |
Cumulative Distribution Function |
ExpHaz |
Hazard Function |
ExpInv |
Inverse CDF (Quantile Function) |
ExpRand |
Random Numbers |
ExpMean |
Mean |
ExpVar |
Variance |
ExpStdev |
Standard Deviation |
The Exponential distribution is extensively used in reliability engineering to describe units that have a constant failure rate. It is also used to model: