Statistics in Industry

Front Cover
Ravindra Khattree, Calyampudi Radhakrishna Rao
Gulf Professional Publishing, 2003 - Mathematics - 1187 pages
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This volume presents an exposition of topics in industrial statistics. It serves as a reference for researchers in industrial statistics/industrial engineering and a source of information for practicing statisticians/industrial engineers. A variety of topics in the areas of industrial process monitoring, industrial experimentation, industrial modelling and data analysis are covered and are authored by leading researchers or practitioners in the particular specialized topic. Targeting the audiences of researchers in academia as well as practitioners and consultants in industry, the book provides comprehensive accounts of the relevant topics. In addition, whenever applicable ample data analytic illustrations are provided with the help of real world data.

 

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Contents

Guidelines for Selecting Factors and Factor Levels for an Industrial Designed
3
Dean Department of Statistics Ohio State University Columbus OH 43210
8
jreecepcisvs
9
Guidelines for selecting factor levels
12
Guidelines for relationships between factors
18
Guidelines for variables held constant or not controlled
24
N Naik Department of Mathematics and Statistics Old Dominion University
26
Summary
30
Sample size in Phase II
604
Data for analysis
611
Biplots
618
Quantifying the Capability of Industrial Processes
625
Nonparametric and robust process capability
645
Taguchis Approach to Online Control Procedure
657
Improvement under random walk model without measurement error
663
Online control under random walk model with measurement error
671

Supersaturated designs
44
Computer experiments
54
Dispersion effects in screening designs
65
The Planning and Analysis of Industrial Selection and Screening
75
Singlefactor experiments to screen treatments based on means
85
Selection and screening for completely randomized experiments
96
Selection and screening for factorial experiments with randomization restrictions
103
Screening and selection concerning variability
123
Uniform Experimental Designs and their Applications in Industry
131
Uniform design in other environments
137
Computer experiments
149
The connections between uniformity and other designs
158
Summary and discussion
165
Some Illustrative Industrial
171
Models for data from experiments with multiple processing steps
180
Baking cookies example of a twostep process using a stripplot design
187
Semiconductors example of repeated measures in a splitsplitplot design
199
Discussion
206
Generalized linear models
215
Dealing with the design dependence problem
223
A Review of Design and Modeling in Computer Experiments
231
Statistical modeling issues for metamodels
237
Experimental design issues
244
Discussion
255
Quality Improvement and Robustness via Design of Experiments
263
Models for parameter design
269
Choice of plans for parameter design
283
Followup experiments
289
Analysis for controlled noise factors
298
Related topics
304
Software to Support Manufacturing Experiments
319
Summary of software evaluations
333
Appendix Demonstrations of products evaluated
345
Conclusions and acknowledgments
456
Gauge studies
471
Designed experiments
479
Statistical process control
488
A New Approach to Product Development and Lifetime
499
Expert judgment
506
Conclusions
520
Need for and complexity of measurements
526
Latent semantic indexing LSI applied to Web transactions
537
Emerging challenges for ecommerce data mining
544
Control Chart Schemes for Monitoring the Mean and Variance of Processes
553
Statistical measures of control chart performance
561
An illustrative example of control chart plots
567
Hotelling T2 Data Depth and Beyond
573
Concluding remarks
587
Effective Sample Sizes for r2 Control Charts
595
Robustness under nonnormality
678
Concluding remarks
685
DeadBand Adjustment Schemes for Online Feedback Quality
695
Dynamics of the adjustment system
701
Exact characterization and evaluation of the A AI
707
Evaluation of the AAI and MSD under pure delayed dynamics
713
Robustness of the DBA schemes and the EWMA forecasts
719
Statistical Calibration and Measurements
731
Statistical Inference for Variance
765
General unbalanced nested designs
771
Interval estimation
783
Concluding remarks
791
Statistical models to assess repeatability and reproducibility
798
Interval estimation of repeatability and reproducibility
815
Tolerancing Approaches and Related Issues in Industry
823
Geometric and kinematic variations
832
STATISTICAL INFERENTIAL TECHNIQUES USEFUL
867
illustrations
884
illustrations
899
Normal Theory Methods and their Simple Robust Analogs for Univariate
907
univariate case
916
Multivariate normal theory tests
928
Robust test procedures
937
Examples
948
Diagnostic Methods for Univariate and Multivariate Normal Data
957
Linear regression data
964
Multivariate data
970
Dimension Reduction Methods Used in Industry
995
Distributional issues
1020
Conclusions
1035
Growth and Wear Curves
1041
Nonparametric methods of the analysis of growth data
1048
Time Series in Industry and Business
1055
ARIMA model building
1062
Forecasts from ARIMA models
1069
Interventions outliers and missing observations
1075
Statespace models and the Kalman filter
1081
Other nonlinear time series models
1090
Longmemory processes
1101
SOFTWARE RELIABILITY
1107
The Markov renewal the semiMarkov and the Markov additive processes
1116
The nonhomogeneous and the doubly stochastic Poisson point processes
1124
Bayesian Inference for the Number of Undetected Errors
1131
Heterogeneity among the errors
1137
Heterogeneity of both reviewers and errors
1143
Subject Index
1151
Contents of Previous Volumes
1165
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