RiskExpon
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Description |
RiskExpon
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Examples |
RiskExpon(5) returns an exponential distribution with mean 5. RiskExpon(A1) returns an exponential distribution with mean from cell A1.
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Guidelines |
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Parameters |
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Domain |
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Density and Cumulative Distribution Functions |
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Mean |
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Variance |
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Skewness |
2
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Kurtosis |
9
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Mode |
0 |
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Examples |
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specifies an exponential distribution with parameter 
, the mean of the distribution. This distribution is the continuous time equivalent of the Geometric distribution. It is often used to model the waiting time for the first occurrence of a process which is continuous in time and of constant intensity. It can be used in similar applications to the Geometric distribution (queueing, maintenance, breakdown modelling, and others), but it is unrealistic in some practical applications because of the constant intensity property (also known as the memoryless property).
must be positive.
continuous scale parameter 
continuous
