Pages that link to "Item:Q1623641"
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The following pages link to Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation (Q1623641):
Displaying 13 items.
- An adaptive Bayesian scheme for joint monitoring of process mean and variance (Q336629) (← links)
- Multivariate EWMA control chart based on a variable selection using AIC for multivariate statistical process monitoring (Q491685) (← links)
- Monitoring the covariance matrix with fewer observations than variables (Q1800078) (← links)
- Comparison of joint control schemes for multivariate normal i.i.d. output (Q2324322) (← links)
- A New Chart for Monitoring the Covariance Matrix of Bivariate Processes (Q3527773) (← links)
- Directional monitoring and diagnosis for covariance matrices (Q5073412) (← links)
- High-dimensional data monitoring using support machines (Q5082664) (← links)
- Kernel methods for changes detection in covariance matrices (Q5084948) (← links)
- An adaptive variable-parameters scheme for the simultaneous monitoring of the mean and variability of an autocorrelated multivariate normal process (Q5107784) (← links)
- Multivariate ELR control chart with estimated mean vector and covariance matrix (Q6067527) (← links)
- <scp>Location‐scale</scp> monitoring of ordinal categorical processes (Q6077371) (← links)
- A multivariate adaptive control chart for simultaneously monitoring of the process parameters (Q6562749) (← links)
- Monitoring of group-structured high-dimensional processes via sparse group Lasso (Q6638857) (← links)
