2011•Quality EngineeringRequires access

Control charts for Poisson count data with varying sample sizes

Anne G. Ryan, William H. Woodall

Open publisher page 6 citations

Abstract

The ability of cumulative sum control (CUSUM) and exponentially weighted moving average (EWMA) control charts to detect increases in the Poisson rate is evaluated by calculating the steady-state average run length performance for the charts. Results ind..

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What this paper is about

The ability of cumulative sum control (CUSUM) and exponentially weighted moving average (EWMA) control charts to detect increases in the Poisson rate is evaluated by calculating the steady-state average run length performance for the charts. Results ind..

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The ability of cumulative sum control (CUSUM) and exponentially weighted moving average (EWMA) control charts to detect increases in the Poisson rate is evaluated by calculating the steady-state average run length performance for the charts. Results ind..

Key concepts: CUSUM, EWMA chart, Control chart, Count data, Poisson distribution, Statistics, Sample size determination, Poisson regression

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