![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
Exponentially distributed observations arise naturally in the context of monitoring the rate of occurrences of events like nonconforming items. Cumulative sum (CUSUM) control charts are known to be very sensitive in detecting small shifts in the mean. A program is presented for computing average run lengths for CUSUM control charts when observations are exponentially distributed.
Additional information
Notes on contributors
F. F. Gan
Dr. Gan is a Statistical Consultant and Senior Lecturer in the Department of Mathematics. He is a Member of ASQC.
K. P. Choi
Dr. Choi is a Senior Lecturer in the Department of Mathematics.
