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Preface | ||
1 | Statistical Process Control: A Brief Overview | 1 |
1.2 | Quality Control: Origins, Misperceptions | 3 |
1.3 | A Case Study in Statistical Process Control | 6 |
1.4 | If Humans Behaved Like Machines | 9 |
1.5 | Pareto's Maxim | 10 |
1.6 | Deming's Fourteen Points | 14 |
1.7 | QC Misconceptions, East and West | 19 |
1.8 | White Balls, Black Balls | 21 |
1.9 | The Basic Paradigm of Statistical Process Control | 33 |
1.10 | Basic Statistical Procedures in Statistical Process Control | 34 |
1.11 | Acceptance Sampling | 40 |
2 | Acceptance-Rejection SPC | 51 |
2.2 | The Basic Test | 53 |
2.3 | The Basic Test with Equal Lot Size | 56 |
2.4 | Testing with Unequal Lot Sizes | 61 |
2.5 | Testing with Open Ended Count Data | 66 |
3 | The Development of Mean and Standard Deviation Control Charts | 75 |
3.2 | A Contaminated Production Process | 77 |
3.3 | Estimation of Parameters of the "Norm" Process | 81 |
3.4 | Robust Estimators for Uncontaminated Process Parameters | 90 |
3.5 | A Process with Mean Drift | 96 |
3.6 | A Process with Upward Drift in Variance | 102 |
3.7 | Charts for Individual Measurements | 106 |
4 | Sequential Approaches | 127 |
4.2 | The Sequential Likelihood Ratio Test | 127 |
4.3 | CUSUM Test for Shift of the Mean | 130 |
4.4 | Shewhart CUSUM Chart | 134 |
4.5 | Performance of CUSUM Test on Data with Mean Drift | 137 |
4.6 | Sequential Tests for Persistent Shift of the Mean | 140 |
4.7 | CUSUM Performance on Data with Upward Variance Drift | 157 |
4.8 | Acceptance-Rejection CUSUMS | 161 |
5 | Exploratory Techniques for Preliminary Analysis | 169 |
5.2 | The Schematic Plot | 170 |
5.3 | Smoothing by Threes | 175 |
6 | Optimization Approaches | 189 |
6.2 | A Simplex Algorithm for Optimization | 192 |
6.3 | Selection of Objective Function | 203 |
6.4 | Motivation for Linear Models | 208 |
6.5 | Multivariate Extensions | 219 |
6.6 | Least Squares | 220 |
6.7 | Model "Enrichment" | 200[sic] |
6.8 | Testing for Model "Enrichment" | 227 |
6.9 | 2[superscript p]Factorial Designs | 233 |
6.10 | Some Rotatable Quadratic Designs | 238 |
6.11 | Saturated Designs | 245 |
6.12 | A Simulation Based Approach | 246 |
7 | Multivariate Approaches | 257 |
7.2 | Likelihood Ratio Tests for Location | 258 |
7.3 | A Compound Test | 267 |
7.4 | A Robust Estimate of "In Control" Location | 269 |
7.5 | A Rank Test for Location Slippage | 271 |
7.6 | A Rank Test for Change in Scale and/or Location | 275 |
Appendix A: A Brief Introduction to Linear Algebra | 283 | |
A.2 | Elementary Arithmetic | 286 |
A.3 | Linear Independence of Vectors | 289 |
A.4 | Determinants | 291 |
A.5 | Inverses | 294 |
A.6 | Definiteness of a Matrix | 296 |
A.7 | Eigenvalues and Eigenvectors | 296 |
A.8 | Matrix Square Root | 300 |
A.9 | Gram-Schmidt Orthogonalization | 301 |
Appendix B: A Brief Introduction to Stochastics | 303 | |
B.2 | Conditional Probability | 309 |
B.3 | Random Variables | 311 |
B.4 | Discrete Probability Distributions | 316 |
B.5 | More on Random Variables | 322 |
B.6 | Continuous Probability Distributions | 325 |
B.7 | Laws of Large Numbers | 335 |
B.8 | Moment-Generating Functions | 337 |
B.9 | Central Limit Theorem | 341 |
B.10 | Conditional Density Functions | 343 |
B.11 | Random Vectors | 344 |
B.12 | Poisson Process | 352 |
B.13 | Statistical Inference | 354 |
Appendix C: Statistical Tables | 379 | |
C.1 | Table of the Normal Distribution | 380 |
C.2 | Table of the X[superscript 2] Distribution | 381 |
C.3 | Table of Student's t Distribution | 382 |
C.4 | Table of the F(.05) Distribution | 383 |
C.5 | Table of the F(.01) Distribution | 384 |
C.6 | Table of the F(.002) Distribution | 385 |
C.7 | Table of the F(.001) Distribution | 386 |
Index | 387 |
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