With the help of stats.halfgennorm.rvs() method, we can generate the random variate from generalized normal distribution by using stats.halfgennorm.rvs() method.
Syntax :
stats.halfgennorm.rvs(beta)
Return : Return the value of random variate.
Example #1 :
In this example we can see that by using stats.halfgennorm.rvs() method, we are able to get the random variate of generalized normal distribution by using this method.
# import halfgennorm from scipy.stats import halfgennorm beta = 1Â Â # Using stats.halfgennorm.rvs() method gfg = halfgennorm.rvs(beta) Â Â print(gfg) |
Output :
1.2087830003416462
Example #2 :
# import halfgennorm from scipy.stats import halfgennorm beta = 4Â Â # Using stats.halfgennorm.rvs() method gfg = halfgennorm.rvs(beta) Â Â print(gfg) |
Output :
0.968700779140972
