… alerts based on preset operational limits. This approach is … dynamically adjusting the
detection limits and thus improving … variables and multiple regression analysis. In this paper, we …

… alerts based on preset operational limits. This approach is … dynamically adjusting the
detection limits and thus improving … variables and multiple regression analysis. In this paper, we …

… regression analysis in control of decentralized operations, eg … , hotel chains, brokerage
operations, grocery chains, branch-… Central Limit Theorem enables us to use statistical analysis …

… This paper proposes to overcome this limit by using logistic regression. … statistical tools is
the linear regression analysis. In the estimation of FLDs, linear regression can be based on the …

… operational issues. This article focuses on two related approaches to calculating upper and
lower control limits … Quantile regression is a type of regression analysis used in statistics and …

… limits using quantile regression of measured and simulated data. In this report, quantile
regression … This first approach to developing control limits successfully aligned operations with …

… Therefore, a damage detection method which uses the simple regression analysis, is …
to a set of control limits (usually an upper and a lower control limits) that define the range of …

… generated during normal operations, causing frequent false alarms. To set the limit values to
… of operation, we believe these abnormal data are collected during nontransient operations. …

… This needs to be considered in the context of ever lower limits imposed on pollutant emissions…
In this study, linear regression (LR), non-linear regression (NLR), and ANN methods were …

… Requires no specialized knowledge beyond a good grasp of matrix algebra and some
acquaintance with straight-line regression and simple analysis of variance models.* More than …