| Sampling of a continuous flow in the plane based on two-dimensional variogram models |
210:Y |
QCAS / 60 / 1-2 / 31 |
| Fast balanced sampling for highly stratified population |
210:Y |
QCAS / 60 / 1-2 / 33 |
| Understanding the rule of 7: Statistical properties for various sample sizes |
210:Y |
QCAS / 60 / 1-2 / 35 |
| Optimal Bayesian sequential sampling rules for the economic evaluation of health technologies |
220:Y |
QCAS / 60 / 1-2 / 37 |
| Power and sample size calculations for Poisson and zero-inflated Poisson regression models |
240:Y |
QCAS / 60 / 1-2 / 39 |
| Sample size determination for paired right-censored data based on the difference of Kaplan-Meier estimates |
240:Y |
QCAS / 60 / 1-2 / 41 |
| Sample size calculation for the proportional hazards model
with a time-dependent covariate |
240:Y |
QCAS / 60 / 1-2 / 43 |
| Re-sampling unbalanced ranked set samples with applications
in testing hypothesis about the population mean |
290:Y |
QCAS / 60 / 1-2 / 45 |
| Two-sample test of high dimensional means under dependence |
290:Y |
QCAS / 60 / 1-2 / 47 |
| Choose wisely: How to select the right metrics to ensure process improvement success |
314:Y |
QCAS / 60 / 1-2 / 49 |
| Reducing welding defects in turnaround projects: A lean Six Sigma case study |
314:Y |
QCAS / 60 / 1-2 / 51 |
| Quality management and lean: A symbiotic relationship |
319:Y |
QCAS / 60 / 1-2 / 53 |
| The role of quality benchmarking deployment to world-class manufacturing |
324:Y |
QCAS / 60 / 1-2 / 55 |
| The relationship between ISO 9000 certification, TQM practices and organizational performance |
349:Y |
QCAS / 60 / 1-2 / 57 |
| Speaking in code: Avoid product coding problems that can waste time, drive costs and damage the brand |
351:Y |
QCAS / 60 / 1-2 / 59 |
| At your fingertips: Combining cause and effect diagrams and check sheets aids problem-solving efforts |
430:Y |
QCAS / 60 / 1-2 / 61 |
| Multiplicative methods for computing D-optimal stratified designs of experiments |
510:Y |
QCAS / 60 / 1-2 / 67 |
| Ratings and rankings: Voodoo or science? |
510:Y |
QCAS / 60 / 1-2 / 69 |
| A high-dimensional two-sample test for the mean using random subspaces |
511:Y |
QCAS / 60 / 1-2 / 71 |
| Statistical inference-based on robust low-rank data matrix approximation |
512:Y |
QCAS / 60 / 1-2 / 73 |
| Probing probabilities: A simple explanation of Rev. Thomas Bayes’ theorem and why it remains relevant |
512:Y |
QCAS / 60 / 1-2 / 75 |
| The jackknife’s edge: Inference for censored regression quantiles |
512:Y |
QCAS / 60 / 1-2 / 77 |
| Statistical inference and computational efficiency for spatial infectious disease models with plantation data |
512:Y |
QCAS / 60 / 1-2 / 79 |
| Handling missing values in cost effectiveness analyses that use data from cluster randomized trials |
513:Y |
QCAS / 60 / 1-2 / 81 |
| Space–time modelling of extreme events |
514:Y |
QCAS / 60 / 1-2 / 85 |
| Exact inference in contingency tables via stochastic approximation Monte Carlo |
516:Y |
QCAS / 60 / 1-2 / 87 |
| Probabilistic strategies for familial DNA searching |
517:Y |
QCAS / 60 / 1-2 / 89 |
| Two useful reformulations of the hazard ratio |
519:Y |
QCAS / 60 / 1-2 / 91 |
| Estimating the change point of correlated Poisson count processes |
519:Y |
QCAS / 60 / 1-2 / 93 |
| An expected cost methodology for screening design selection |
521:Y |
QCAS / 60 / 1-2 / 95 |
| Identifying process dynamics through a two-level factorial experiment |
524:Y |
QCAS / 60 / 1-2 / 99 |
| Influence analysis in response surface methodology |
525:Y |
QCAS / 60 / 1-2 / 101 |
| Selecting a D-optimal follow-up experiment among candidate choices |
529:Y |
QCAS / 60 / 1-2 / 103 |
| Optimal designs for dose finding studies with an active control |
529:Y |
QCAS / 60 / 1-2 / 105 |
| A Bayesian semiparametric regression model for reliability data using effective age |
549:Y |
QCAS / 60 / 1-2 / 107 |
| Distribution-free prediction bands for nonparametric regression |
549:Y |
QCAS / 60 / 1-2 / 109 |
| Regularized matrix regression |
549:Y |
QCAS / 60 / 1-2 / 111 |
| Nonparametric variable selection and classification: The CATCH algorithm |
551:Y |
QCAS / 60 / 1-2 / 113 |
| Consistent nonparametric tests for Lorenz dominance |
551:Y |
QCAS / 60 / 1-2 / 117 |
| The gamma-normal distribution: Properties and applications |
590:Y |
QCAS / 60 / 1-2 / 119 |
| Resource failures risk assessment modelling in distributed environments |
820:Y |
QCAS / 60 / 1-2 / 135 |
| Predicting key reliability response with limited response data |
820:Y |
QCAS / 60 / 1-2 / 137 |
| A failure time prediction method for condition-based maintenance |
840:Y |
QCAS / 60 / 1-2 / 141 |
| Flexible-duration extended warranties with dynamic reliability learning |
860:Y |
QCAS / 60 / 1-2 / 145 |
| Differential smoothing in the bivariate exponentially weighted moving average chart |
110:Y |
QCAS / 59 / 5-6 / 429 |
| Acceptance sampling plan from truncated life tests based on exponentiated inverse Rayleigh distribution |
210:Y |
QCAS / 59 / 5-6 / 431 |
| Annealed importance sampling reversible jump MCMC algorithms |
210:Y |
QCAS / 59 / 5-6 / 433 |
| Scale-invariant sparse PCA on high-dimensional meta-elliptical data |
210:Y |
QCAS / 59 / 5-6 / 435 |
| Two-stage importance sampling with mixture proposals |
210:Y |
QCAS / 59 / 5-6 / 439 |
| Ensemble sub-sampling for imbalanced multivariate two-
sample tests |
210:Y |
QCAS / 59 / 5-6 / 441 |
| A GEE approach to determine sample size for pre-and post-
intervention experiments with dropout |
240:Y |
QCAS / 59 / 5-6 / 443 |
| Patient discharge time improvement by using the Six Sigma approach: A case study |
314:Y |
QCAS / 59 / 5-6 / 445 |
| The influence of continuous improvement practices on learning: An empirical study |
321:Y |
QCAS / 59 / 5-6 / 453 |
| Water quality function deployment |
323:Y |
QCAS / 59 / 5-6 / 455 |
| Toward strategically aligned innovative capability: A QFD-based approach |
323:Y |
QCAS / 59 / 5-6 / 457 |
| Diagnostic quality problem solving: A conceptual framework and six strategies |
430:Y |
QCAS / 59 / 5-6 / 459 |
| So many variables, so few observations |
510:Y |
QCAS / 59 / 5-6 / 465 |
| Follow the fundamentals: Four data analysis basics will help you do big data projects the right way |
510:Y |
QCAS / 59 / 5-6 / 469 |
| Inclusion probabilities in partially rank ordered set sampling |
511:Y |
QCAS / 59 / 5-6 / 473 |
| Equivalence of distance-based and RKHS-based statistics in hypothesis testing |
511:Y |
QCAS / 59 / 5-6 / 475 |
| Bayesian multimodel inference by RJMCMC: A Gibbs sampling approach |
512:Y |
QCAS / 59 / 5-6 / 479 |
| Semiparametric Bayesian estimation for marginal parametric potential outcome modeling: Application to causal inference |
512:Y |
QCAS / 59 / 5-6 / 481 |
| Bayesian inference on a mixture model with spatial dependence |
512:Y |
QCAS / 59 / 5-6 / 483 |
| Bayesian unit-root testing in stochastic volatility models with correlated errors |
512:Y |
QCAS / 59 / 5-6 / 485 |
| Bayesian inference with misspecified models |
512:Y |
QCAS / 59 / 5-6 / 487 |
| Selective inference on multiple families of hypotheses |
512:Y |
QCAS / 59 / 5-6 / 489 |
| Outlier robust small area estimation |
514:Y |
QCAS / 59 / 5-6 / 491 |
| Analysis of variance of integro-differential equations with application to population dynamics of cotton aphids |
515:Y |
QCAS / 59 / 5-6 / 495 |
| Robust parametric classification and variable selection by a minimum distance criterion |
519:Y |
QCAS / 59 / 5-6 / 499 |
| Quantifying causal influences |
519:Y |
QCAS / 59 / 5-6 / 503 |
| Dynamic Bayesian analysis for irregularly and incompletely
observed contingency tables |
520:Y |
QCAS / 59 / 5-6 / 507 |
| A framework for initial experimental design in the presence of competing prior knowledge |
520:Y |
QCAS / 59 / 5-6 / 509 |
| Guidelines for planning and evidence for assessing a well-designed experiment |
521:Y |
QCAS / 59 / 5-6 / 511 |
| A tutorial on the planning of experiments |
521:Y |
QCAS / 59 / 5-6 / 513 |
| Epistatic clustering: A model-based approach for identifying links between clusters |
530:Y |
QCAS / 59 / 5-6 / 517 |
| Adaptive Monte Carlo for Bayesian variable selection in regression models |
540:Y |
QCAS / 59 / 5-6 / 519 |
| Optimal designs for regression models with a constant coefficient of variation |
540:Y |
QCAS / 59 / 5-6 / 521 |
| Uniform inference in predictive regression models |
540:Y |
QCAS / 59 / 5-6 / 523 |
| Estimating the marginal law of a time series with applications
to heavy-tailed distributions |
544:Y |
QCAS / 59 / 5-6 / 525 |
| Recursive estimation of nonparametric regression with functional covariate |
549:Y |
QCAS / 59 / 5-6 / 527 |
