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.
from scipy.stats import hypsecant
data = [ 1 , 2 , 3 , 4 ]
gfg = hypsecant.fit(data)
print (gfg)
|
Output :
(2.5000442723226115, 0.8418290927220122)
Example #2 :
from scipy.stats import hypsecant
data = [ 1 , 2 , 3 , 4 , 10 , - 5 ]
gfg = hypsecant.fit(data)
print (gfg)
|
Output :
(2.4999694801000487, 2.756410927671771)
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