RiskUniform
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Description |
RiskUniform(minimum,maximum) specifies a uniform distribution over the range from minimum to maximum. Every value in this range is equally likely. This distribution is sometimes called the “no knowledge” distribution, as in, “we have no idea what the uncertain value will be, except that it will be between 50 and 100 (for example). This makes it unrealistic in many real applications, where the relative likelihoods fall away on either side of some modal value. Nevertheless, the uniform distribution is important because it is used by random number algorithms to generate samples from other distributions.
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Examples |
RiskUniform(10,20) returns a uniform distribution with minimum 10 and maximum 20. RiskUniform(A1+90,B1) returns a uniform distribution with minimum equal to the value in cell A1 plus 90, and maximum taken from cell B1.
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Guidelines |
minimum must be less than maximum. |
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Parameters |
min continuous boundary parameter min < max * max continuous boundary parameter *min = max is supported but gives a degenerate distribution. |
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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 |
0
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Kurtosis |
1.8 |
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Mode |
Not uniquely defined
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Examples |
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continuous
