| Design of variance control charts with estimated parameters:
A head to head comparison between two perspectives |
111:Y |
QCAS / 69 / 3-4 / 171 |
| Robust multivariate control chart based on shrinkage for individual observations |
111:Y |
QCAS / 69 / 3-4 / 173 |
| Deep learning-based residual control chart for count data |
119:Y |
QCAS / 69 / 3-4 / 177 |
| Predictive control charts (PCC): A Bayesian approach in online monitoring of short runs |
190:Y |
QCAS / 69 / 3-4 / 181 |
| The signaling effect of sampling size in physical goods sampling via online channels |
210:Y |
QCAS / 69 / 3-4 / 183 |
| Sample design for analysis using high-influence probability sampling |
220:Y |
QCAS / 69 / 3-4 / 191 |
| The quality movement: Where are we going? Past, present and future |
319:Y |
QCAS / 69 / 3-4 / 199 |
| Workplace stress and health – The connection to quality management |
332:Y |
QCAS / 69 / 3-4 / 203 |
| ISO 9004 maturity model for quality in industry 4.0 |
342:Y |
QCAS / 69 / 3-4 / 207 |
| Impact of lean and quality management practices on green supply chain performance: An empirical study on ceramic enterprises |
351:Y |
QCAS / 69 / 3-4 / 209 |
| Analysis of the evolution and impact of product quality in business |
410:Y |
QCAS / 69 / 3-4 / 213 |
| Development of a Kaizen series model: Abducting a blend of participatory formats to enhance the development of process improvement practices |
430:Y |
QCAS / 69 / 3-4 / 217 |
| The role of organizational culture in total quality management adoption and cost of quality |
440:Y |
QCAS / 69 / 3-4 / 221 |
| Reflections on Bayesian inference and Markov chain Monte Carlo |
512:Y |
QCAS / 69 / 3-4 / 225 |
| Prediction and outlier detection in classification problems |
514:Y |
QCAS / 69 / 3-4 / 229 |
| Irrational exuberance: Correcting bias in probability estimates |
517:Y |
QCAS / 69 / 3-4 / 231 |
| Treatment versus regime effects of carrots and sticks |
519:Y |
QCAS / 69 / 3-4 / 233 |
| Mixtures of matrix-variate contaminated normal distributions |
519:Y |
QCAS / 69 / 3-4 / 237 |
| Methods to compute prediction intervals: A review and new results |
519:Y |
QCAS / 69 / 3-4 / 239 |
| Using BART to perform Pareto optimization and quantify its uncertainties |
519:Y |
QCAS / 69 / 3-4 / 241 |
| Estimating design operating characteristics in Bayesian adaptive clinical trials |
520:Y |
QCAS / 69 / 3-4 / 245 |
| Model averaging for nonlinear regression models |
542:Y |
QCAS / 69 / 3-4 / 255 |
| Two-sample testing of high-dimensional linear regression coefficients via complementary sketching |
549:Y |
QCAS / 69 / 3-4 / 257 |
| Extremile regression |
549:Y |
QCAS / 69 / 3-4 / 261 |
| Handwriting identification using random forests and score-based likelihood ratios |
559:Y |
QCAS / 69 / 3-4 / 265 |
| Bayesian models for analysis of inventory and monitoring data with non-ignorable missingness |
590:Y |
QCAS / 69 / 3-4 / 269 |
| A new experiment on the use of images to answer web survey questions |
690:Y |
QCAS / 69 / 3-4 / 281 |
| Warranty length, product reliability and secondary markets |
860:Y |
QCAS / 69 / 3-4 / 287 |
| Nonparametric phase-II control charts for monitoring high-dimensional processes with unknown parameters |
110:Y |
QCAS / 69 / 1-2 / 11 |
| Assessing the performance of control charts for detecting previously unexplored shift types in high density spatial data |
110:Y |
QCAS / 69 / 1-2 / 13 |
| A consistent data model for different data granularity in control charts |
110:Y |
QCAS / 69 / 1-2 / 17 |
| Process quality indices: New metrics for process quality capability with zero-loss baseline |
120:Y |
QCAS / 69 / 1-2 / 25 |
| Image based statistical process monitoring via partial first order stochastic dominance |
190:Y |
QCAS / 69 / 1-2 / 29 |
| Gradient sampling methods with inexact subproblem solutions and gradient aggregation |
210:Y |
QCAS / 69 / 1-2 / 33 |
| Large-scale datastreams surveillance via pattern-oriented-sampling |
210:Y |
QCAS / 69 / 1-2 / 35 |
| Testing independence under biased sampling |
210:Y |
QCAS / 69 / 1-2 / 37 |
| Laplace estimator of integrated volatility when sampling times are endogenous |
210:Y |
QCAS / 69 / 1-2 / 39 |
| Paired or partially paired two-sample tests with unordered samples |
210:Y |
QCAS / 69 / 1-2 / 41 |
| Efficient sampling and structure learning of Bayesian networks |
210:Y |
QCAS / 69 / 1-2 / 43 |
| Importance sampling with the integrated nested Laplace approximation |
210:Y |
QCAS / 69 / 1-2 / 45 |
| Row-column sampling design using auxiliary ranking variables |
220:Y |
QCAS / 69 / 1-2 / 47 |
| Calculating sample size for Follmann’s simple multivariate test for one-sided alternatives |
240:Y |
QCAS / 69 / 1-2 / 51 |
| Optimal design subsampling from big datasets |
290:Y |
QCAS / 69 / 1-2 / 53 |
| A subsampling line-search method with second-order results |
290:Y |
QCAS / 69 / 1-2 / 55 |
| Feature screening for massive data analysis by subsampling |
290:Y |
QCAS / 69 / 1-2 / 57 |
| Using principles and selected tools of Lean Six Sigma to improve sustainability: A case study |
314:Y |
QCAS / 69 / 1-2 / 59 |
| Multivariate Six Sigma: A case study in an outpatient pharmaceutical care unit |
314:Y |
QCAS / 69 / 1-2 / 61 |
| A stakeholder view of quality management and CSR through feminist ethics |
319:Y |
QCAS / 69 / 1-2 / 63 |
| The importance of information technology to organizational results within the Baldrige Award |
343:Y |
QCAS / 69 / 1-2 / 67 |
| Management standards and institutional influence: An exploratory study using the Baldrige criteria |
343:Y |
QCAS / 69 / 1-2 / 69 |
| On reading Youden: Learning about the practice of statistics and applied statistical research from a master applied statistician |
510:Y |
QCAS / 69 / 1-2 / 71 |
| Finite-sample two-group composite hypothesis testing via machine learning |
511:Y |
QCAS / 69 / 1-2 / 75 |
| Risk analysis via generalized Pareto distributions |
512:Y |
QCAS / 69 / 1-2 / 77 |
| Leave-one-out kernel density estimates for outlier detection |
514:Y |
QCAS / 69 / 1-2 / 79 |
| Analyzing cause-specific mortality trends using compositional functional data analysis |
519:Y |
QCAS / 69 / 1-2 / 81 |
| Variation and covariation in large-scale replication projects:
An evaluation of replicability |
519:Y |
QCAS / 69 / 1-2 / 83 |
| Monitoring and root-cause diagnostics of high-dimensional data streams |
519:Y |
QCAS / 69 / 1-2 / 85 |
| Tolerance interval for the exponential distribution with a specified ratio of the tail probabilities and generalizations |
519:Y |
QCAS / 69 / 1-2 / 87 |
| Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data |
519:Y |
QCAS / 69 / 1-2 / 91 |
| The case-control approach can be more powerful for matched pair observational studies when the outcome is rare |
529:Y |
QCAS / 69 / 1-2 / 99 |
| Analysis of clustered survey data based on two-stage informative sampling and associated two-level models |
539:Y |
QCAS / 69 / 1-2 / 101 |
| Managing the waste of over processing in healthcare using accountability through utilization reviews and information technologies |
690:Y |
QCAS / 69 / 1-2 / 103 |
| A fresh look at computer vision for industrial quality control |
720:Y |
QCAS / 69 / 1-2 / 111 |
| Enhancing risk assessment of manufacturing production process integrating failure modes and sequential fuzzy cognitive map |
820:Y |
QCAS / 69 / 1-2 / 115 |
| An integrated failure-censored sampling scheme for lifetime-performance verification and validation under a Weibull distribution |
830:Y |
QCAS / 69 / 1-2 / 117 |
| Dynamic maintenance model for a repairable multi-component system using deep reinforcement learning |
840:Y |
QCAS / 69 / 1-2 / 123 |
| Opportunistic maintenance model for load sharing k-out-of-n systems with perfect PM and minimal repairs |
840:Y |
QCAS / 69 / 1-2 / 127 |
| An improved multiple quality characteristic analysis chart for simultaneous monitoring of process mean and variance of steering knuckle pin for green manufacturing |
110:Y |
QCAS / 68 / 5-6 / 341 |
| Functional regression control chart |
110:Y |
QCAS / 68 / 5-6 / 343 |
| A variable parameters auxiliary information based quality control chart with application in a spring manufacturing process: The Markov chain approach |
110:Y |
QCAS / 68 / 5-6 / 347 |
| A nonparametric CUSUM chart for monitoring multivariate serially correlated processes |
111:Y |
QCAS / 68 / 5-6 / 351 |
| A S^2 – GWMA control chart for monitoring the process variability |
119:Y |
QCAS / 68 / 5-6 / 353 |
| Building a sample frame of SMEs using patent, search engine and website data |
210:Y |
QCAS / 68 / 5-6 / 355 |
| Inference for longitudinal data from complex sampling surveys: An approach based on quadratic inference functions |
210:Y |
QCAS / 68 / 5-6 / 357 |
| Inference under pivotal sampling: Properties, variance estimation and application to tesselation for spatial sampling |
210:Y |
QCAS / 68 / 5-6 / 359 |
| Correlation-based dynamic sampling for online high dimensional process monitoring |
210:Y |
QCAS / 68 / 5-6 / 361 |
| A review of some sampling and aggregation strategies for basic statistical process monitoring |
210:Y |
QCAS / 68 / 5-6 / 365 |
| Metropolized knockoff sampling |
220:Y |
QCAS / 68 / 5-6 / 367 |
| Type I error inflation of blinded sample size re-estimation in equivalence testing |
240:Y |
QCAS / 68 / 5-6 / 371 |
| Sample size determination for stratified Phase II cancer trials with monotone order constraints |
240:Y |
QCAS / 68 / 5-6 / 373 |
