Stable distribution function

The simple algorithm used in this Demonstration can calculate the stable distribution function and its first several derivatives with good accuracy for α>1. It is offered to help with financial analysis where the data generally has the shape parameter greater than 1. The Nolan 1-parameterization is used where the parameters have the characteristics listed below. α is the distribution shape parameter, 0≤α≤2. For α=2 the result is the normal distribution; α is the tail exponent of the distribution: lower values give fatter tails. β is the skewness parameter in the range (-1, 1). γ is the scale parameter. δ is the location parameter; when α>1 as in this Demonstration δ is the expectation of the distributionComponente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemátic