| 书目名称 | Multivariate Statistical Quality Control Using R |
| 编辑 | Edgar Santos-Fernández |
| 视频video | |
| 概述 | Introduces R as a viable statistical quality control methodology.Covers construction of multivariate control charts and indices?.Presents the most important MSQC techniques developed in R language |
| 丛书名称 | SpringerBriefs in Statistics |
| 图书封面 |  |
| 描述 | The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices. |
| 出版日期 | Book 2013 |
| 关键词 | MSQC; R; multivariate analysis; multivariate methodologies; multivariate statistical quality control; sta |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-5453-3 |
| isbn_softcover | 978-1-4614-5452-6 |
| isbn_ebook | 978-1-4614-5453-3Series ISSN 2191-544X Series E-ISSN 2191-5458 |
| issn_series | 2191-544X |
| copyright | Springer Science+Business Media New York 2013 |
发表于 2025-3-21 18:20:59
