Package csb :: Package statistics :: Package pdf :: Class GeneralizedNormal

Class GeneralizedNormal

     object --+        
              |        
AbstractDensity --+    
                  |    
        BaseDensity --+
                      |
                     GeneralizedNormal

Nested Classes
Inherited from `AbstractDensity`: `__metaclass__`

Instance Methods

__init__(self, mu=0, alpha=1, beta=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

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

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

Class Variables
	__abstractmethods__ = `frozenset([])`

Properties
	alpha
	beta
	mu
Inherited from `AbstractDensity`: `estimator`, `parameters` Inherited from `object`: `__class__`

Method Details

init(self, mu=0, alpha=1, beta=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)

Property Details

alpha

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

beta

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

mu

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

Class GeneralizedNormal

__init__(self, mu=0, alpha=1, beta=1) (Constructor)

log_prob(self, x)

alpha

beta

mu

init(self, mu=0, alpha=1, beta=1)
(Constructor)