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.
# 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 :
# 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)
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