A01=Camil Fuchs
A01=Ron S. Kenett
advanced multivariate data analysis
Author_Camil Fuchs
Author_Ron S. Kenett
batch data analysis
Bivariate Normal Density
case study methodology
Category=KJMV5
Category=PBT
Control Charts
Data Set
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Exact Covariance Matrix
Hotelling T2 Statistic
Hotelling's T2
Hotelling’s T2
Joint Bivariate Normal Distribution
matrix algebra applications
Multiple Univariate Testings
Multivariate Control Chart
Multivariate Control Procedures
Multivariate Normal
Multivariate Process Capability Indices
Multivariate Quality Control
Out-of Control Observation
principal component analysis
Process Capability Study
Process Quality Characteristics
Shewhart Charts
statistical process monitoring
Statistical Tolerance Limits
Step-down Procedure
T2 Chart
T2 Statistic
Time Sequence Plot
tolerance region estimation
Tolerance Regions
UCL
Univariate Control Chart
Product details
- ISBN 9780367579326
- Weight: 420g
- Dimensions: 152 x 229mm
- Publication Date: 30 Jun 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlighting multivariate profile charts.
Camil Fuchs, Ron S. Kanett
