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Seiji Zenitani
 
''A gamma variate generator with shape parameter less than unity''
( 2024, Vol. 44 No.3 )
 
 
Algorithms for generating random numbers that follow a gamma distribution with shape parameter less than unity are proposed. Acceptance-rejection algorithms are developed, based on the generalized exponential distribution. The squeeze technique is applied to our method, and then piecewise envelope functions are further considered. The proposed methods are excellent in acceptance efficiency and promising in speed.
 
 
Keywords: Random number generation, gamma distribution, rejection sampling, Monte Carlo method
JEL: C6 - Mathematical Methods and Programming: General
C1 - Econometric and Statistical Methods: General
 
Manuscript Received : Jun 11 2024 Manuscript Accepted : Sep 30 2024

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