Phase I Control Charts (with Emphasis on Distribution-Free
Methods)
Description
Statistical methods for retrospectively detecting changes
in location and/or dispersion of univariate and multivariate
variables. Data values are assumed to be independent, can be
individual (one observation at each instant of time) or subgrouped
(more than one observation at each instant of time).
Control limits are computed, often using a permutation approach,
so that a prescribed false alarm probability is guaranteed
without making any parametric assumptions on the stable
(in-control) distribution. See G. Capizzi and G. Masarotto (2018)
for an introduction to the package.