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Python | Scipy stats.halfgennorm.logsf() method

  • Last Updated : 06 Feb, 2020

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.

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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

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