Normal(m,s)
Ratio of Mean to Std. Dev. must be from -2e+15 to 2e+15 (inclusive)
Standard Deviation must be less than or equal to 2E+15.
Standard Deviation must be greater than zero.
Triangular(min,most_likely,max)
Likeliest must be greater than or equal to Minimum.
Likeliest must be less than or equal to Maximum.
Maximum must be less than or equal to 1e+33.
Minimum must be greater than or equal to -1e+33.
Uniform(min,max)
Minimum must be less than Maximum.
Probability of a try [1.0/(Max-Min)] must be greater than zero.
Minimum must be greater than or equal to -1e+33.
Maximum must be less than or equal to 1e+33.
Lognormal(m,s)
Cannot convert distribution parameters to the specified parameter types. (if ratio of Mean to Std. Dev. is inappropriate)
Mean must be less than or equal to 3E+304.
Mean must be greater than zero.
Standard Deviation must be greater than zero.
Beta(Min, Max, a,b)
Minimum must be less than Maximum.
Minimum must be less than Maximum.
Alpha must be from 0.3 to 1000 (inclusive).
Beta must be from 0.3 to 1000 (inclusive).
Alpha plus Beta must be less than 1000.
Minimum must be from -2e+15 to 2e+15 (inclusive).
Maximum must be from -2e+15 to 2e+15 (inclusive).
Gamma(L,b,a)
The ratio of Location to Scale must be less than or equal to 1.0E+13.
Location must be from -2e+15 to 2e+15 (inclusive).
Shape must be less than or equal to 1000.
Shape must be greater than or equal to 0.05.
Scale must be less than or equal to 1e+15.
Scale must be greater than zero.
Weibull(Location,Scale,Shape)
Location must be from -2e+15 to 2e+15 (inclusive).
Scale must be less than or equal to 1e+15.
Scale must be greater than zero.
Shape must be less than or equal to 1000.
Shape must be greater than or equal to 0.05.
MaximumExtreme(Mode, Scale)
Likeliest must be from -2e+15 to 2e+15 (inclusive).
Scale must be less than or equal to 1e+15.
Scale must be greater than zero.
MinimumExtreme(Mode, Scale)
Likeliest must be from -2e+15 to 2e+15 (inclusive).
Scale must be less than or equal to 1e+15.
Scale must be greater than zero.
Logistic(Mean, Scale)
Mean must be from -2e+15 to 2e+15 (inclusive).
Scale must be less than or equal to 1e+15.
Scale must be greater than zero.
Student(m,s,n)
Midpoint must be from -2e+15 to 2e+15 (inclusive).
Scale must be less than or equal to 1e+15.
Scale must be greater than zero.
Degrees of Freedom must be from 1 to 30 (inclusive).
Exponential(1/b)
Rate must be less than 10000000000000.
Rate must be greater than zero.
Pareto(a,q)
Location must be less than or equal to 1e+100.
Location must be greater than zero.
Shape must be less than or equal to 1000.
Shape must be greater than or equal to 0.05.
Binomial(p,n)
Probability must be between zero and one.
Trials must be less than or equal to 1000.
Trials must be greater than or equal to one.
Poisson(lt)
Rate must be less than or equal to 1000.
Rate must be greater than zero.
Hypergeometric(D,n,M)
Success must be less than Population.
Success must be greater than zero.
Trials must be less than Population.
Trials must be greater than or equal to one.
Population must be less than or equal to 1000.
Population must be greater than zero.
NegBinomial(p,s)
Probability must be between zero and one.
Shape must be less than or equal to 1000.
Shape must be greater than or equal to 1.
Geometric(p)
Probability must be between zero and one.
Discrete Uniform(min,max)
Minimum must be less than Maximum.
Minimum must be less than Maximum.
Minimum must be greater than or equal to -1.0E9.
Maximum must be less than or equal to 1.0E9.
Yes-No(p)
Probability of Yes(1) must be between zero and one.
