gravel

<p>This data set contains 56 individual bivariate observations
  from a gravel-producing plant given by Holmes
  and Mergen (1993). There are two variables measuring
  the percentage of the particles (by weight) that are large or medium in size, respectively.</p>

datasets

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)
<doi:10.1007/978-3-319-75295-2_1> for an introduction to the package.

gravel: Gravel data

Description

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Examples