Add to ORKGIn this paper, we evaluate the in-control performance of np-control charts with estimated parameters. We then apply the bootstrap method to adjust the control charts’ limits to guarantee the desired in-control average run length (ARL0) value in monitoring stage. The adjusted limits ensure that ARL0 would take a value greater than the desired value (say, B) with a certain specified probability, that is Pr(ARL_0>B)=1-ρ. We finally provide users with tables which with practitioners do not need to do bootstrapping Phase I data set to obtain the control limit thresholds
Research on the performance evaluation and the design of the Phase II EWMA control chart for monitor...
When designing control charts the in‐control parameters are unknown, so the control limits have to b...
Because the in-control distribution and parameters are generally unknown, control limits have to be ...
We evaluate the in‐control performance of the np‐control chart with estimated parameter conditional ...
To use control charts in practice, the in-control state usually has to be estimated. This estimation...
The in-control performance of Shewhart and S2 control charts with estimated in-control parameters ha...
The number of nonconforming items in a sample is monitored using the fraction defective known as the...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
peer reviewedThe performance of control charts with estimated parameters in Phase II depends on the ...
We evaluate the in-control performance of the S^2 control chart with estimated parameters conditiona...
We evaluate the in-control performance of the S2 control chart with estimated parameters conditional...
The most commonly used techniques in statistical process control are parametric, and thus require as...
We study the effect of the Phase I estimation error on the cumulative sum (CUSUM) chart. Impractical...
Recently, two methods have been published in this journal to determine adjusted control limits for t...
Research on the performance evaluation and the design of the Phase II EWMA control chart for monitor...
When designing control charts the in‐control parameters are unknown, so the control limits have to b...
Because the in-control distribution and parameters are generally unknown, control limits have to be ...
We evaluate the in‐control performance of the np‐control chart with estimated parameter conditional ...
To use control charts in practice, the in-control state usually has to be estimated. This estimation...
The in-control performance of Shewhart and S2 control charts with estimated in-control parameters ha...
The number of nonconforming items in a sample is monitored using the fraction defective known as the...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
peer reviewedThe performance of control charts with estimated parameters in Phase II depends on the ...
We evaluate the in-control performance of the S^2 control chart with estimated parameters conditiona...
We evaluate the in-control performance of the S2 control chart with estimated parameters conditional...
The most commonly used techniques in statistical process control are parametric, and thus require as...
We study the effect of the Phase I estimation error on the cumulative sum (CUSUM) chart. Impractical...
Recently, two methods have been published in this journal to determine adjusted control limits for t...
Research on the performance evaluation and the design of the Phase II EWMA control chart for monitor...
When designing control charts the in‐control parameters are unknown, so the control limits have to b...
Because the in-control distribution and parameters are generally unknown, control limits have to be ...