Abstract
A new procedure to construct a confidence interval for the mean of a simulated process is proposed. The new procedure uses approximate partial variance and it is capable of adjusting itself to compensate for the skewness of the underlying population. A Monte Carlo experiment compares the proposed procedure with some other procedures using different sample sizes and underlying distributions. The result shows that the proposed procedure generally provides a higher probability of coverage with a shorter confidence interval width than the other procedures.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
