Monitoring process variability using auxiliary information
From MaRDI portal
Publication:626205
DOI10.1007/s00180-007-0084-6zbMath1224.93113OpenAlexW2108370196MaRDI QIDQ626205
Publication date: 22 February 2011
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://pure.uva.nl/ws/files/4285960/67525_298927.pdf
Estimation and detection in stochastic control theory (93E10) Sequential statistical analysis (62L10)
Related Items (13)
An enhanced EWMA-t control chart for monitoring the process mean ⋮ An EWMA-Type Control Chart for Monitoring the Process Mean Using Auxiliary Information ⋮ Multiple dependent state repetitive sampling plans with or without auxiliary variable ⋮ A EWMA control chart based on an auxiliary variable and repetitive sampling for monitoring process location ⋮ A new Max-HEWMA control chart using auxiliary information ⋮ On designing efficient memory-type charts using multiple auxiliary-information ⋮ Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean ⋮ Enhanced adaptive CUSUM charts for process mean ⋮ A process variability control chart ⋮ A control chart using an auxiliary variable and repetitive sampling for monitoring process mean ⋮ Increasing the efficiency of double moving average chart using auxiliary variable ⋮ A new multivariate control chart for monitoring the quality of a process with the aid of auxiliary information ⋮ Risk-adjusted control charts for health care monitoring
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A general class of estimators for estimating population mean using auxiliary information
- Regression-type estimators using two auxiliary variables and the model of double sampling from finite populations
- Repeated substitution method: The ratio estimator for the population variance
- Design of R control Chart Assuming a Gamma Distribution
- MULTIVARIATE RATIO ESTIMATION FOR FINITE POPULATIONS
- Some improved ratio type estimators of population mean and ratio in finite population sample surveys
- A multivariate exponentially weighted moving average control chart for monitoring process variability
- Variance Estimation Using Auxiliary Information
- A Note on Regression-Type Estimators Using Multiple Auxiliary Information
- ON THE PROBABILITY THAT TWO INDEPENDENT DISTRIBUTIONS OF FREQUENCY ARE REALLY SAMPLES FROM THE SAME PARENT POPULATION
- Robust Estimation of the Process Standard Deviation for Control Charts
- Estimation of the mean of a univariate normal distribution with known variance
- Shewhart control charts for the scale parameter of a Weibull control variable with fixed and variable sampling intervals
- On a Method of Using Multi-Auxiliary Information in Sample Surveys
- Determination of A. R. L. and a Contour Nomogram for Cusum Charts to Control Normal Mean
This page was built for publication: Monitoring process variability using auxiliary information
