Schalk William Human

TL;DR: An overview of the literature on Phase I parametric control charts for univariate variables data is presented and the joint distribution of the charting statistics is used to control the false alarm probability while designing the charts.

TL;DR: The hypothesis that the physician's perception of patient difficulty is related to the patient's attachment style is supported, and the degree to which physicians serve attachment functions for patients in crisis merits further investigation.

TL;DR: In this article, a Markov chain approach is used to compute the run-length distribution and the associated performance characteristics of the two-sided NPEWMA-SR chart, and detailed guidelines and recommendations for selecting the chart's design parameters for practical implementation are provided along with illustrative examples.

TL;DR: In this paper, a Markov chain approach is used to determine the run-length distribution of the two-sided nonparametric exponentially weighted moving average (EWMA) control chart for i.i.d. individual data and some associated performance characteristics.

TL;DR: Two new Shewhart-type nonparametric control charts are proposed for monitoring the unknown location parameter of a continuous population in Phase II (prospective) applications and are shown to have robust in-control performance and are more efficient when the underlying distribution is t (symmetric with heavier tails than the normal) or gamma (1, 1) (right-skewed).