Monitoring Process Mean and Variability with One Non-central Chi-square Chart
From MaRDI portal
Publication:3591950
DOI10.1080/0266476042000285503zbMath1121.62355OpenAlexW2028104463MaRDI QIDQ3591950
No author found.
Publication date: 11 September 2007
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/0266476042000285503
Related Items (15)
A control chart to monitor the process mean based on inspecting attributes using control limits of the traditional X-bar chart ⋮ Monitoring process mean and dispersion with one double generally weighted moving average control chart ⋮ A New GWMA Control Chart for Monitoring Process Mean and Variability ⋮ The optimized CUSUM and EWMA multi-charts for jointly detecting a range of mean and variance change ⋮ A joint monitoring of the process mean and variance with a TEWMA-Max control chart ⋮ Using one EWMA chart to jointly monitor the process mean and variance ⋮ Robust optimization of an imperfect process when the mean and variance are jointly monitored under dependent multiple assignable causes ⋮ Aspects on the control of false alarms in statistical surveillance and the impact on the return of financial decision systems ⋮ A control chart based on likelihood ratio test for detecting patterned mean and variance shifts ⋮ A New Chart for Detecting the Process Mean and Variability ⋮ A Sum of Squares Generally Weighted Moving Average Control Chart ⋮ Monitoring the process mean and variance using a synthetic control chart with two-stage testing ⋮ Monitoring Process Mean and Variability with One Double EWMA Chart ⋮ A weighted likelihood ratio test-based chart for monitoring process mean and variability ⋮ Considering Taguchi loss function on statistically constrained economic sum of squares exponentially weighted moving average charts
This page was built for publication: Monitoring Process Mean and Variability with One Non-central Chi-square Chart
