Python | Scipy stats.hypsecant.fit() method

Last Updated : 10 Feb, 2020
With the help of stats.hypsecant.fit() method, we can get the parameter estimates for generic data by using stats.hypsecant.fit() method.
Syntax : stats.hypsecant.fit(data) Return : Return the parameter estimates for generic data.
Example #1 : In this example we can see that by using stats.hypsecant.fit() method, we are able to get the parameter estimates for generic data by using this method. Python3 1=1
# import hypsecant
from scipy.stats import hypsecant
data = [1, 2, 3, 4]

# Using stats.hypsecant.fit() method
gfg = hypsecant.fit(data)

print(gfg)
Output :
(2.5000442723226115, 0.8418290927220122)
Example #2 : Python3 1=1
# import hypsecant
from scipy.stats import hypsecant
data = [1, 2, 3, 4, 10, -5]

# Using stats.hypsecant.fit() method
gfg = hypsecant.fit(data)

print(gfg)
Output :
(2.4999694801000487, 2.756410927671771)
Comment

Explore