Screen LibraryMultivariate statistical quality control using R /
AiaiaiaiaiThe 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 mu...
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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
Springer,
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| Publisher Address: | New York : |
| Publication Dates: | 2012. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Springerbriefs in statistics
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| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-1-4614-5453-3 |
| Summary: |
AiaiaiaiaiThe 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 C. |
| Carrier Form: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781461454533 (electronic bk.) 1461454530 (electronic bk.) |
| Index Number: | QA278 |
| CLC: | O212.4 |
| Contents: |
A Small Introduction -- Multivariate Control Charts -- Multivariate Process Capability Indices (MPCI) -- Tools of Support to MSQC -- Study Cases. |