Page 425 - Six Sigma Advanced Tools for Black Belts and Master Black Belts

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JWBK119-IND
Index
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goal: inferences, 138, 172, 181
current reality tree, 94--96 innovation, 27--28, 48, 347, 354, 356,
of Six Sigma, 4--17, 24--33 362, 366
programming, 53, 307, 309, 312 innovation algorithm, 366
goalpost loss function, 250 input-output, 24, 271, 277, 288
goodness-of-fit tests (GOF): inspections, 326, 330
general, 138--139, 153--169 interaction effects, 191, 234, 239--257, 264,
principles, 154 271--288, 298--306
Pearson Chi Square, 155 ishikawa diagram, 12, 62, 85
Empirical Distribution Function based ISO, 21, 268
approach (EDF), 157
Kolmogorov-Smirnov, 158--161 J
Cramer von-Mises, 161 Johnson transformation, 111--113, 127
Anderson Darling, 134--162
regression based approaches, 163 K
probability plotting, 163 kaizen, 64
Shapiro Wilk, 165 Kano analysis, 53, 57
Fisher’s Cumulant, 167--169 key variables, 6
greco-latin designs, 261 knapsack, 54
green belt, 21, 25, 32, 34 Kolmogorov-Smirnov test, 158--161
Key Process Input Variables (KPIVs), 32,
H 44--45, 171--172
heuristic, 53--54, 57, 108, 110 Key Process Output Variables (KPOVs), 32,
high-yield process, 128, 212, 325 44--47, 171--172
histogram, 45, 132--135, 140--143, 146--148, kurtosis, 136--137, 167, 169
215--216, 219
homogeneous: L
batch processes, 197 Lagrangian multiplier approach, 308--309
subgroups, 76 Laplace, 137
Hosmer-Lemeshow, 186 lean manufacturing:
house of quality (HOQ), 13, 42--43 manufacturing, 51
hypothesis: design, 258, 262, 297--305
causal hypothesis, 6 least squares, 137--138, 171
difference betweeen likelihood ratios, 191 level of significance, 161--162, 167, 199
testing, 50, 53--54, 154 likelihood:
of Anderson Darling, 134 maximum likelihood estimation (MLE),
tests for GOF, see goodness-of-fit tests 111, 137--138
for contingency table, 173 likelihood ratio, 174, 184--186, 191--192,
for contingency table with ordinal 197, 199, 354, 381, 384--385, 385
linear regression, 57, 155, 159, 171, 188, 191,
I 357
information, 175 linearization, 164
for logistic regression, 183--184 location parameter, 229--233, 272
for detecting outlier and level shifts, logic-based tool, 94
357--358 logistic regression, 181--192
identify-design-optimize-validate (IDOV), logit link, 181--182, 186--187
22--23, 41--43, 45, 47 log-likelihood, 128
IMSL: loglogistic:
FORTRAN library, 366 distribution, 140, 228--232
statistical library, 347, 388 three-parameter, 137, 139
subroutines, 203 lognormal:
independence: system, 111--112, 112
in contingency tables, 174--178 distribution, 114--121, 127--129, 143--149
in SPC control charts, 344, 366, 382 three-parameter, 137, 139
Negatives in CRT, 94 loss function, 250--251, 273, 279, 287,
of residuals, 243 290, 309