| Statistical process adjustment: A brief retrospective, current status and some opportunities for further work |
110:Y |
QCAS / 52 / 3 / 257 |
| Production quality and yield assurance for processes with multiple independent characteristics |
120:Y |
QCAS / 52 / 3 / 261 |
| Permutation methods for comparing process capabilities |
120:Y |
QCAS / 52 / 3 / 263 |
| Credit to and in acceptance sampling |
210:Y |
QCAS / 52 / 3 / 269 |
| Importance sampling algorithms for Bayesian networks: Principles and performance |
210:Y |
QCAS / 52 / 3 / 271 |
| Sequential importance sampling for multiway tables |
210:Y |
QCAS / 52 / 3 / 277 |
| Making simulations more efficient when analyzing Poisson arrival systems and means of monotone functions |
210:Y |
QCAS / 52 / 3 / 279 |
| Optimal dynamic sample allocation among strata |
210:Y |
QCAS / 52 / 3 / 281 |
| Likelihood ratio order of m-spacings for two samples |
210:Y |
QCAS / 52 / 3 / 283 |
| Separating interviewer and sampling-point effects |
230:Y |
QCAS / 52 / 3 / 285 |
| Sample size determination using Bayesian decision criteria under absolute value loss function |
240:Y |
QCAS / 52 / 3 / 289 |
| Comparing quality management practices between the United States and Mexico |
319:Y |
QCAS / 52 / 3 / 293 |
| An exploration of the offset hypothesis using disaggregate data: The case of airbags and antilock brakes |
339:Y |
QCAS / 52 / 3 / 295 |
| Comparative analysis of Malcolm Baldrige National Quality Award criteria: An empirical study of India, Mexico and the United States |
343:Y |
QCAS / 52 / 3 / 297 |
| Beyond PDCA – A new process management model |
430:Y |
QCAS / 52 / 3 / 303 |
| Performing hypothesis tests on the shape of functional data |
511:Y |
QCAS / 52 / 3 / 309 |
| Finding bad values in factorial designs – revisited |
514:Y |
QCAS / 52 / 3 / 311 |
| Combining data in small multiple-method studies |
515:Y |
QCAS / 52 / 3 / 313 |
| Evaluation of variance approximations and estimators in maximum entropy sampling with unequal probability and fixed sample size |
515:Y |
QCAS / 52 / 3 / 315 |
| Transforming the exponential by minimizing the sum of the absolute differences |
519:Y |
QCAS / 52 / 3 / 317 |
| Design of experiment algorithms for assembled products |
520:Y |
QCAS / 52 / 3 / 319 |
| Efficient 2k factorial designs for blocks of size 2 with microarray applications |
520:Y |
QCAS / 52 / 3 / 325 |
| Fitting logistic regression models with contaminated case-control data |
540:Y |
QCAS / 52 / 3 / 329 |
| Comparison of time series using subsampling |
544:Y |
QCAS / 52 / 3 / 331 |
| Cross-validation in nonparametric regression with outliers |
549:Y |
QCAS / 52 / 3 / 333 |
| Industrial statistics: A discipline with opportunities and challenges |
790:Y |
QCAS / 52 / 3 / 349 |
| Extreme (X-) testing with binary data and applications to reliability demonstration |
820:Y |
QCAS / 52 / 3 / 351 |
| Unreliability evaluation for a limited-flow network with failed nodes subject to the budget constraint |
820:Y |
QCAS / 52 / 3 / 353 |
| Monitoring paper production using a spectral control chart designed to detect in the presence of multiple cycles |
110:Y |
QCAS / 52 / 2 / 121 |
| Unit and group-runs chart to identify increases in fraction nonconforming |
110:Y |
QCAS / 52 / 2 / 125 |
| Using CUSUM control schemes for monitoring quality levels in compound Poisson production environment: The geometric Poisson process |
110:Y |
QCAS / 52 / 2 / 127 |
| New corrections for old control charts |
110:Y |
QCAS / 52 / 2 / 129 |
| Parameter estimation and design considerations in prospective applications of the X̄ chart |
111:Y |
QCAS / 52 / 2 / 131 |
| Optimization of design parameters for X̄ control charts with multiple assignable cause |
111:Y |
QCAS / 52 / 2 / 137 |
| X̄-charts versus X̄/MR chart combinations: IID cases and non-IID cases |
111:Y |
QCAS / 52 / 2 / 143 |
| Evaluating and implementing 3-level control charts |
112:Y |
QCAS / 52 / 2 / 145 |
| A neural network method for modelling the parameters of a CUSUM chart |
119:Y |
QCAS / 52 / 2 / 149 |
| Supplier selection based on process capability and price analysis |
120:Y |
QCAS / 52 / 2 / 151 |
| Effect of testing normality on estimating process capability indices |
120:Y |
QCAS / 52 / 2 / 153 |
| Testing process capability based on Cpm in the presence of random measurement errors |
120:Y |
QCAS / 52 / 2 / 155 |
| Quantitative techniques to evaluate process stability |
120:Y |
QCAS / 52 / 2 / 157 |
| Use SPC for everyday work processes |
130:Y |
QCAS / 52 / 2 / 159 |
| Inference for domains under imputation for missing survey data |
210:Y |
QCAS / 52 / 2 / 161 |
| Confidence limits for estimates of totals from stratified samples, with application to Medicare Part B overpayment audits |
210:Y |
QCAS / 52 / 2 / 163 |
| Improved ratio estimators in stratified sampling |
210:Y |
QCAS / 52 / 2 / 165 |
| Sample-size-restrictive adaptive sampling: An application in estimating localized elements |
210:Y |
QCAS / 52 / 2 / 171 |
| Sub-sampling the non-respondents in two-stage sampling over two successive occasions |
210:Y |
QCAS / 52 / 2 / 173 |
| Repetitive group sampling procedure for variables inspection |
230:Y |
QCAS / 52 / 2 / 175 |
| On the bias of the multiple-imputation variance estimator in survey sampling |
230:Y |
QCAS / 52 / 2 / 181 |
| Estimation of sensitive quantitative characteristics in randomized response sampling |
290:Y |
QCAS / 52 / 2 / 187 |
| On the accuracy of statistical procedures in Microsoft Excel 2003 |
510:Y |
QCAS / 52 / 2 / 191 |
| Empirical likelihood tests for two-sample problems via nonparametric density estimation |
511:Y |
QCAS / 52 / 2 / 193 |
| A method for determining equivalence in industrial settings: Defining and testing the equivalence of two methods or two laboratories |
511:Y |
QCAS / 52 / 2 / 199 |
| Bayesian inference for the mean and standard deviation of a normal population when only the sample size, mean and range are observed |
512:Y |
QCAS / 52 / 2 / 201 |
| Evaluating relationship of consistency ratio and number of alternatives on rank reversal in the AHP |
515:Y |
QCAS / 52 / 2 / 205 |
| Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators |
519:Y |
QCAS / 52 / 2 / 207 |
| Empirical likelihood for parametric model under imputation for missing data |
519:Y |
QCAS / 52 / 2 / 209 |
| One- and two-sided tolerance intervals for general balanced mixed models and unbalanced one-way random models |
520:Y |
QCAS / 52 / 2 / 211 |
| Designing field experiments which are subject to representation bias |
521:Y |
QCAS / 52 / 2 / 213 |
| Tests for balanced incomplete block ranked data with ties |
522:Y |
QCAS / 52 / 2 / 217 |
| Estimating the conditional variance of Y, given X, in a simple regression model |
541:Y |
QCAS / 52 / 2 / 219 |
| Time series forecasting using flexible neural tree model |
544:Y |
QCAS / 52 / 2 / 221 |
| On some reliability measures and their stochastic orderings for the Topp-Leone distribution |
820:Y |
QCAS / 52 / 2 / 231 |
| An alternative approach to multivariate EWMA control chart |
110:Y |
QCAS / 52 / 1 / 13 |
| Two improved runs rules for the Shewart X̄ control chart |
111:Y |
QCAS / 52 / 1 / 17 |
| The generally weighted moving average control chart for monitoring the process median |
111:Y |
QCAS / 52 / 1 / 19 |
| Calculating the (almost) exact control limits for a C-chart |
112:Y |
QCAS / 52 / 1 / 21 |
| On statistical process control design |
120:Y |
QCAS / 52 / 1 / 27 |
| Designing and construction of tightened-normal-tightened variables sampling scheme |
210:Y |
QCAS / 52 / 1 / 37 |
| Exact sampling with highly uniform point sets |
210:Y |
QCAS / 52 / 1 / 41 |
| Quality on its way to maturity: Results of the European Conference on Quality and Methodology in Official Statistics (Q2004) |
310:Y |
QCAS / 52 / 1 / 45 |
| Emotional intelligence and Six Sigma |
314:Y |
QCAS / 52 / 1 / 47 |
| An operational and institutional perspective on total quality management |
319:Y |
QCAS / 52 / 1 / 53 |
| Analysis of ordered categorical data using expected loss minimization |
320:Y |
QCAS / 52 / 1 / 57 |
| A fuzzy optimization model for QFD planning process using analytic network approach |
323:Y |
QCAS / 52 / 1 / 61 |
| Optimizing the formation of the quality improvement teams through a data mining-based methodology |
332:Y |
QCAS / 52 / 1 / 63 |
| Employee and patient focus earns the Baldrige |
343:Y |
QCAS / 52 / 1 / 67 |
| Simple tools for complex systems |
430:Y |
QCAS / 52 / 1 / 71 |
| Principal directions of the general Pareto distribution with applications |
510:Y |
QCAS / 52 / 1 / 73 |
| An empirical investigation into the distribution of flatness measurements |
511:Y |
QCAS / 52 / 1 / 75 |
