| Name : R-SNSchart
| |
| Version : 1.4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.13
| Date : 2024-06-14 11:04:08
|
| Group : Development/Libraries/Other
| Source RPM : R-SNSchart-1.4.0-lp153.1.13.src.rpm
|
| Size : 0.29 MB
| |
| Packager : (none)
| |
| Summary : Sequential Normal Scores in Statistical Process Management
|
Description :
The methods discussed in this package are new non-parametric methods
based on sequential normal scores \'SNS\' (Conover et al (2017)
< doi:10.1080/07474946.2017.1360091>), designed for sequences of
observations, usually time series data, which may occur singly or in
batches, and may be univariate or multivariate. These methods are
designed to detect changes in the process, which may occur as changes
in location (mean or median), changes in scale (standard deviation, or
variance), or other changes of interest in the distribution of the
observations, over the time observed. They usually apply to large data
sets, so computations need to be simple enough to be done in a
reasonable time on a computer, and easily updated as each new
observation (or batch of observations) becomes available. Some examples
and more detail in \'SNS\' is presented in the work by Conover et al
(2019) < arXiv:1901.04443>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
