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)
