Package csb :: Package statistics :: Package pdf :: Class GeneralizedInverseGaussian

Class GeneralizedInverseGaussian

     object --+        
              |        
AbstractDensity --+    
                  |    
        BaseDensity --+
                      |
                     GeneralizedInverseGaussian

Nested Classes
Inherited from `AbstractDensity`: `__metaclass__`

Instance Methods

__init__(self, a=1, b=1, p=1)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

array

log_prob(self, x)
Evaluate the logarithm of the probability of observing values x. source code

random(self, size=None)
Generate random samples from the probability distribution.

source code

Inherited from AbstractDensity: __call__, __getitem__, __setitem__, __str__, estimate, evaluate, get_params, set_params

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __subclasshook__

Class Variables
	__abstractmethods__ = `frozenset([])`

Properties
	a
	b
	p
Inherited from `AbstractDensity`: `estimator`, `parameters` Inherited from `object`: `__class__`

Method Details

init(self, a=1, b=1, p=1)
(Constructor)

source code

x.__init__(...) initializes x; see help(type(x)) for signature

Overrides: object.__init__: (inherited documentation)

log_prob(self, x)

source code

Evaluate the logarithm of the probability of observing values x.

Parameters:

x - values

Returns: array

Overrides: AbstractDensity.log_prob

(inherited documentation)

random(self, size=None)

source code

Generate random samples from the probability distribution.

Parameters:

size - number of values to sample

Overrides: AbstractDensity.random

(inherited documentation)

Property Details

a

Get Method:: unreachable.a(self)
Set Method:: unreachable.a(self, value)

b

Get Method:: unreachable.b(self)
Set Method:: unreachable.b(self, value)

p

Get Method:: unreachable.p(self)
Set Method:: unreachable.p(self, value)

Class GeneralizedInverseGaussian

__init__(self, a=1, b=1, p=1) (Constructor)

log_prob(self, x)

random(self, size=None)

a

b

p

init(self, a=1, b=1, p=1)
(Constructor)