Monitoring the process mean under the Bayesian approach with application to hard bake process.

ABSTRACT: This study introduces the Bayesian adaptive exponentially weighted moving average (AEWMA) control chart within the framework of measurement error, examining two separate loss functions: the squared error loss function and the linex loss function. We conduct an analysis of the posterior and posterior predictive distributions utilizing a conjugate prior. In the presence of measurement error (ME), we employ a linear covariate model to assess the control chart's effectiveness. Additionally, we explore the impacts of measurement error by investigating multiple measurements and a method involving linearly increasing variance. We conduct a Monte Carlo simulation study to assess the control chart's performance under ME, examining its run length profile. Subsequently, we offer a specific numerical

SUBMITTER: Khan I 

PROVIDER: S-EPMC10676415 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature