Shifted Distribution
Represents a Distribution that has been Shifted (translated to the right) The shift must be >= 0.0
Constructs a shifted distribution based on the provided distribution
Parameters
the distribution to shift
The linear shift
an optional name/label
Inheritors
Functions
Returns an array of probabilities each representing F(x_i). The CDF is evaluated for each point in the input array x and the probabilities are returned in the returned array.
Returns the probability of being in the interval, F(upper limit) - F(lower limit) Be careful, this is Pr{lower limit < = X < = upper limit} which includes the lower limit and has implications if the distribution is discrete
Returns the Pr{x1 <= X <= x2} for the distribution. Be careful, this is Pr{x1 <= X <= x2} which includes the lower limit and has implications if the distribution is discrete
Returns the F(x) = Pr{X <= x} where F represents the cumulative distribution function
Computes the complementary cumulative probability distribution function for given value of x. This is P{X > x}
Computes x_p where P(X <= x_p) = p for the supplied array of probabilities. Requires that the values within the supplied array are in (0,1)
Provides the inverse cumulative distribution function for the distribution
Gets the parameters for the shifted distribution shift = parameter0 The other elements of the returned array are the parameters of the underlying distribution
Sets the parameters of the shifted distribution shift = param0 If supplied, the other elements of the array are used in setting the parameters of the underlying distribution. If only the shift is supplied as a parameter, then the underlying distribution's parameters are not changed (and do not need to be supplied)
Changes the underlying distribution and the shift
Returns the standard deviation for the distribution as the square root of the variance if it exists