| 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 |
| Model diagnostics for Bayesian networks |
519:Y |
QCAS / 52 / 1 / 77 |
| New frontiers in the design of experiments |
520:Y |
QCAS / 52 / 1 / 79 |
| Is time-series-based predictability evident in real time? |
544:Y |
QCAS / 52 / 1 / 83 |
| No humble pie: The origins and usage of a statistical chart |
552:Y |
QCAS / 52 / 1 / 87 |
| Reputation, certification, warranties and information remedies for seller-buyer information asymmetries: Lessons from the online comic book market |
640:Y |
QCAS / 52 / 1 / 89 |
| Statistical engineering: A case study |
660:Y |
QCAS / 52 / 1 / 93 |
| The design of optimum component test plans for system reliability |
820:Y |
QCAS / 52 / 1 / 105 |
| An economic reliability test plan: Log-logistic distribution |
830:Y |
QCAS / 52 / 1 / 107 |
| On the statistical properties of testing effectiveness measures |
850:Y |
QCAS / 52 / 1 / 109 |
| Software reliability forecasting by support vector machines with simulated annealing algorithms |
850:Y |
QCAS / 52 / 1 / 111 |
| Automated goal-oriented classification of failure behaviors for testing XML-based multimedia software applications: An experimental case study |
850:Y |
QCAS / 52 / 1 / 113 |
| The RL2 chart versus the np chart for detecting upward shifts in fraction defective |
110:Y |
QCAS / 51 / 6 / 601 |
| The random intrinsic fast initial response of one-sided CUSUM charts |
110:Y |
QCAS / 51 / 6 / 603 |
| Attribute selection based on rough set theory for electromagnetic interference (EMI) fault diagnosis |
112:Y |
QCAS / 51 / 6 / 605 |
| Lot streaming for quality control in two-stage batch production |
190:Y |
QCAS / 51 / 6 / 607 |
| A Bayesian analysis of the Deming cost model with normally distributed sampling data |
210:Y |
QCAS / 51 / 6 / 611 |
| Acceptance sampling? The enterprise strikes back! AS9100 c = 0 plans: when slogans supplant science |
210:Y |
QCAS / 51 / 6 / 613 |
| Adaptive sampling for Bayesian variable selection |
210:Y |
QCAS / 51 / 6 / 615 |
| Average outgoing quality of CSP-C continuous sampling plan under short run production processes |
220:Y |
QCAS / 51 / 6 / 621 |
| Does weighting for nonresponse increase the variance of survey means? |
230:Y |
QCAS / 51 / 6 / 623 |
| Hot deck imputation for the response model |
230:Y |
QCAS / 51 / 6 / 627 |
| A Bayesian method of sample size determination with practical applications |
240:Y |
QCAS / 51 / 6 / 633 |
| Evolution of quality: First fifty issues of Production and Operations Management |
319:Y |
QCAS / 51 / 6 / 635 |
