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1 [section:gamma_dist Gamma (and Erlang) Distribution]
23 The gamma distribution is a continuous probability distribution.
25 Erlang Distribution. It is also closely related to the Poisson
28 When the shape parameter has an integer value, the distribution is the
29 [@http://en.wikipedia.org/wiki/Erlang_distribution Erlang distribution].
31 integer value > 0, the Erlang distribution is not separately implemented.
35 distribution does not provide the typedef:
39 Instead if you want a double precision gamma distribution you can write
51 distribution can be defined by the PDF:
58 throughout. Therefore to construct a Gamma Distribution from a ['rate
61 The following two graphs illustrate how the PDF of the gamma distribution
68 The [*Erlang Distribution] is the same as the Gamma, but with the shape parameter
72 Internally the functions used to implement the Gamma Distribution are
74 be no great loss of performance from using a Gamma Distribution rather than
75 a dedicated Erlang Distribution.
81 Constructs a gamma distribution with shape /shape/ and
89 Returns the /shape/ parameter of this distribution.
93 Returns the /scale/ parameter of this distribution.
104 The gamma distribution is implemented in terms of the
111 In the following table /k/ is the shape parameter of the distribution,
130 [endsect] [/section:gamma_dist Gamma (and Erlang) Distribution]