Python | Scipy stats.halfgennorm.fit() method

With the help of stats.halfgennorm.fit() method, we can get the parameter estimates for generic data by using stats.halfgennorm.fit() method.

Syntax : stats.halfgennorm.fit(data, beta)
Return : Return the parameter estimates for generic data.

Example #1 :
In this example we can see that by using stats.halfgennorm.fit() method, we are able to get the parameter estimates for generic data by using this method.

# import halfgennorm
from scipy.stats import halfgennorm
beta = 1
data = [1, 2, 3, 4]

# Using stats.halfgennorm.fit() method
gfg = halfgennorm.fit(data, beta)

print(gfg)

Output :

(0.747842031646833, 0.999999999643278, 0.9104743888803231)

Example #2 :

# import halfgennorm
from scipy.stats import halfgennorm
beta = 4
data = [1, 2, 3, 4]

# Using stats.halfgennorm.fit() method
gfg = halfgennorm.fit(data, beta)

print(gfg)

Output :

(283.5624794926913, 0.9950868221655309, 3.0513233113282805)

My Personal Notes arrow_drop_up

Save