Multivariate Statistical Methods in Quality Management

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McGraw-Hill Education, Mar 17, 2004 - Technology & Engineering - 299 pages


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UPGRADE MANUFACTURING AND SERVICE PERFORMANCE WITH POWERFUL STATISTICAL TOOLS

There's no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems -- Multivariate Statistical Methods in Quality Management teaches powerful analytic tools for troubleshooting, root cause analysis, process control, quality improvement, and many other applications. Written by statistics experts who specialize in reliability and quality engineering, this unique resource introduces the fundamentals and then demonstrates how to:

*Choose the best method for each data set
* Make complex data intelligible with graphical tools
* Coax important hidden information from data with graphical 3-D software and numerical multivariate data stratification
* Perform data reduction with principal component analysis, factor analysis, and discriminant analysis
* Apply multivariate methods in Six Sigma enterprises
* Get clarification from case studies, models, and 50 illustrations
* Uncover the source of problems and pinpoint solutions in arenas from manufacturing processes to sales performance and beyond

From inside the book

 

Results 1-3 of 84

Page viii
Kai Yang, Jayant Trewn. Chapter 2. Graphical Multivariate Data Display and Data Stratification 2.1 Introduction 2.2 ... technique 2.4.2 Graphical analysis of multivariate variation pattern Chapter 3. Introduction to Multivariate ...
Page xiii
Kai Yang, Jayant Trewn. Multivariate statistical methods are a collection of methods and proce- dures that analyze , interpret , display , and make decisions based on mul- tiple related random variables . Some well - known multivariate ...
Page 22
Kai Yang, Jayant Trewn. Data analysis . Using collected data to find patterns , trends and other differences that could suggest , support , or reject theories about the cause and effect , the methods ... multivariate statistical methods ...

Where's the rest of this book?

Contents

Multivariate Statistical Methods and Quality
1
Graphical Multivariate Data Display and Data Stratification
2
Multivariate Analysis of Variance
81
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17 other sections not shown

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Multivariate Statistical Methods in Quality Management
Kai Yang,Jayant Trewn
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Kai Yang,Jayant Trewn
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Multivariate Statistical Methods in Quality Management
Kai Yang,Jayant Trewn
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Common terms and phrases

abnormal group Canola centroid cluster analysis coefficients common factor analysis computed control chart control limits correlation matrix Cottonseed data mining degradation dependent variables dimensional variation discriminant analysis distance between cluster eigenvalues equations estimate Euclidean distance example factor analysis Factor Loadings Figure indirect effect IRLEDs linkage method luminous power Mahalanobis-Taguchi system MANOVA mean vector measurement data measuring points MINITAB multivariate data set multivariate normal distribution multivariate process control multivariate random multivariate random variables multivariate statistical multivariate statistical methods N₁ N₂ objects observations orthogonal array parameters path analysis path diagram population principal component analysis principal component score pulse random variables reference sample rotation sample covariance matrix scaled Mahalanobis distance shown in Fig Six Sigma Soybean standard deviation standardized variables structural model subgroup Table Taguchi temperature tested at 280 underbody univariate variance variation mode chart waist weight X₂ Y₁ µ₁ µ₂

About the author (2004)

Kai Yang, Ph.D., has consulted extensively in many areas of quality and reliability engineering. He is Associate Professor of Industrial and Manufacturing Engineering at Wayne State University, Detroit, Michigan. He lives in West Bloomfield, Michigan.

Jayant Trewn, Ph.D., is a research faculty member at Beaumont Hospital in Royal Oak, Michigan. He is responsible for implementing cutting edge industrial engineering tools in hospital and health care management. Dr. Trewn was a Director of Quality and Productivity Improvement at Vetri Systems, a Lason Company. He was responsible for business process design and improvement in the global business environment.

Bibliographic information

TitleMultivariate Statistical Methods in Quality Management
AuthorsKai Yang, Jayant Trewn
Editionillustrated
PublisherMcGraw-Hill Education, 2004
Original fromthe University of Michigan
Digitized20 Nov 2007
ISBN0071432086, 9780071432085
Length299 pages
Subjects ›  › 

Mathematics / Probability & Statistics / General
Technology & Engineering / Engineering (General)
  
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