Pages that link to "Item:Q1023782"
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The following pages link to Adaptive CUSUM procedures with Markovian mean estimation (Q1023782):
Displaying 18 items.
- A hidden-Markov estimation method for mean-shift detection of fraction defective in production process control (Q596890) (← links)
- Adaptive R charts with variable parameters (Q901588) (← links)
- Optimization designs of the combined Shewhart-CUSUM control charts (Q961142) (← links)
- An EWMA chart for monitoring the process standard deviation when parameters are estimated (Q961691) (← links)
- Adaptive CUSUM control chart with variable sampling intervals (Q961695) (← links)
- CUSUM control schemes for Gaussian processes (Q1360292) (← links)
- A control chart based on likelihood ratio test for detecting patterned mean and variance shifts (Q2445614) (← links)
- A multivariate control chart for simultaneously monitoring process mean and variability (Q2445678) (← links)
- An adaptive multivariate CUSUM control chart for signaling a range of location shifts (Q2816643) (← links)
- An Adaptive Shiryaev–Roberts Procedure for Signalling Varying Location Shifts (Q2821016) (← links)
- On the Markov Chain Approach to the Two-Sided CUSUM Procedure (Q3321297) (← links)
- Stability of Approximations of Average Run Length of Risk-Adjusted CUSUM Schemes Using the Markov Approach: Comparing Two Methods of Calculating Transition Probabilities (Q3447099) (← links)
- CUSUM Procedures for Monitoring Process Mean and Variability (Q4929220) (← links)
- New adaptive CUSUM charts for process mean (Q5083912) (← links)
- Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean (Q5107328) (← links)
- Enhanced adaptive CUSUM charts for process mean (Q5107472) (← links)
- A new adaptive EWMA control chart using auxiliary information for monitoring the process mean (Q5154117) (← links)
- A window-limited generalized likelihood ratio test for monitoring Poisson processes with linear drifts (Q5222259) (← links)
