Exponential Power Distribution
y = exppow(a,b,x,c)
output
scale parameter
exponent. For b=1 the distribution reduces to Laplace distribution and for b=2 the distribution reduces to gaussian distribution but with a=1.414s. where 's' is standard deviation
x is real number lying within the range 0 to +infinity for cdf and pdf computation.
It will allow the user to generate a exponential power random variate with scale parameter a and exponent b. In this case the function is independent of x and hence any value of x can be set.
It will allow the user to compute the probability density p(x) at x for an exponential power distribution scale with parameter a and exponent b.
It will allow the user to compute exponential power cdf P(x).
It will allow the user to compute exponential power cdf Q(x).
This function is used to calculate exponential power random variate, probability density, cumulative distribution functions P(x), Q(x).
// probability density p(x) at x=0 for an exponential power distribution with scale parameter a=1 and exponent b=2.5 a=1 b=2.5 x=0 c=2 y = exppow(a,b,x,c) disp(y) | ![]() | ![]() |