With the help of stats.halfgennorm.logsf() method, we can get the log value of survival function which is log(1 – cdf) by using stats.halfgennorm.logsf() method.
Syntax :
stats.halfgennorm.logsf(x, beta)
Return : Return the log value of survival function.
Example #1 :
In this example we can see that by using stats.halfgennorm.logsf() method, we are able to get the log value of survival function by using this method.
# import halfgennorm from scipy.stats import halfgennorm beta = 1 # Using stats.halfgennorm.logsf() method gfg = halfgennorm.logsf(0.3, beta) print(gfg) |
Output :
-0.2999999999999998
Example #2 :
# import halfgennorm from scipy.stats import halfgennorm beta = 4 # Using stats.halfgennorm.logsf() method gfg = halfgennorm.logsf(0.9, beta) print(gfg) |
Output :
-2.1473008279056534
