Application: Y (General Applications)

Title Cat:App Page
Multi-state reliability demonstration tests 830:Y QCAS / 64 / 1-2 / 141
Optimal accelerated life tests under a cost constraint with non-uniform stress durations 840:Y QCAS / 64 / 1-2 / 145
A distribution-free multivariate control chart 111:Y QCAS / 63 / 5-6 / 369
CUSUM charts with controlled conditional performance under estimated parameters 119:Y QCAS / 63 / 5-6 / 373
A class of process capability indices for asymmetric tolerances 130:Y QCAS / 63 / 5-6 / 377
Monitoring multivariate process variability when sub-group size is small 130:Y QCAS / 63 / 5-6 / 381
Practitioner advice: ERLDAT-A web-based tool to design and analyze EWMA control charts 190:Y QCAS / 63 / 5-6 / 385
A Phase II nonparametric adaptive exponentially weighted moving average control chart 190:Y QCAS / 63 / 5-6 / 387
Self-starting monitoring scheme for Poisson count data with varying population sizes 190:Y QCAS / 63 / 5-6 / 391
The economic and economic-statistical designs of Hotelling’s T2 chart on expected average run length 190:Y QCAS / 63 / 5-6 / 395
Robust inference in sample selection models 210:Y QCAS / 63 / 5-6 / 397
Outcome-dependent sampling design and inference for Cox’s proportional hazards model 210:Y QCAS / 63 / 5-6 / 399
Algorithm-based distribution of two-sample statistics 210:Y QCAS / 63 / 5-6 / 403
Does more balanced survey response imply less non-response bias? 230:Y QCAS / 63 / 5-6 / 409
Quality assurance in the Portuguese census: The contribution of the balanced scorecard 230:Y QCAS / 63 / 5-6 / 413
A short note on the effect of sample size on the estimation error in Cp 240:Y QCAS / 63 / 5-6 / 415
Weighted inspection sampling methods based on winsorization 290:Y QCAS / 63 / 5-6 / 417
Portfolio risk management using Six Sigma quality principles 314:Y QCAS / 63 / 5-6 / 419
The role of strategic planning in implementing a total quality management framework: An empirical view 410:Y QCAS / 63 / 5-6 / 429
Analyzing behavioral big data – Methodological, practical, ethical and moral issues 510:Y QCAS / 63 / 5-6 / 437
Confidence intervals for the two-parameter exponential reliability with Type II censored data 511:Y QCAS / 63 / 5-6 / 439
Simultaneous confidence intervals for comparisons of several multinomial samples 511:Y QCAS / 63 / 5-6 / 441
Statistical inference for stochastic processes: Two-sample hypothesis tests 511:Y QCAS / 63 / 5-6 / 443
Improved estimation of population mean in the presence of nonresponse and measurement error 512:Y QCAS / 63 / 5-6 / 445
Generalized variable inference for the expected winning bids 512:Y QCAS / 63 / 5-6 / 447
Understanding variation: Correctly assessing variation is fundamental to sound decisions 515:Y QCAS / 63 / 5-6 / 449
Variational Bayes with intractable likelihood 515:Y QCAS / 63 / 5-6 / 453
Quality quandaries: Understanding aspects influencing different types of multiple response optimization 519:Y QCAS / 63 / 5-6 / 455
Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application 520:Y QCAS / 63 / 5-6 / 457
Sequential designs for repeated-measures experiments 523:Y QCAS / 63 / 5-6 / 459
A solution selection approach to multiresponse surface optimization based on clustering method 525:Y QCAS / 63 / 5-6 / 461
Trellis plots as visual aids for analyzing split plot experiments 529:Y QCAS / 63 / 5-6 / 465
Estimation of the population size by using the one-inflated positive Poisson model 590:Y QCAS / 63 / 5-6 / 467
SNSQUAL: A social networking site quality model 690:Y QCAS / 63 / 5-6 / 473
Optimizing a complex world: A statistician’s role in decision making 790:Y QCAS / 63 / 5-6 / 477
Multiple objective optimization in reliability demonstration tests 810:Y QCAS / 63 / 5-6 / 481
An improved FMEA method based on the linguistic weighted geometric operator and fuzzy priority 820:Y QCAS / 63 / 5-6 / 483
Bayesian reliability: Combining information 820:Y QCAS / 63 / 5-6 / 487
Heuristics for managing trainable binary inspection systems 820:Y QCAS / 63 / 5-6 / 489
Field reliability modeling based on two-dimensional warranty data with censoring times 830:Y QCAS / 63 / 5-6 / 493
Estimating a service-life distribution based on production counts and a failure database 830:Y QCAS / 63 / 5-6 / 497
Availability and cost-centered preventive maintenance scheduling of continuous operating series systems using multi-objective genetic algorithm: A case study 840:Y QCAS / 63 / 5-6 / 499
Quality quandaries: Combining engineering and statistics to assess the probability of an event 890:Y QCAS / 63 / 5-6 / 501
The case against the use of synthetic control charts 110:Y QCAS / 63 / 3-4 / 185
Evaluation of phase I analysis scenarios on phase II performance of control charts for autocorrelated observations 110:Y QCAS / 63 / 3-4 / 187
A tutorial on an iterative approach for generating Shewhart control limits 110:Y QCAS / 63 / 3-4 / 189
Control charting methods for autocorrelated cyber vulnerability data 110:Y QCAS / 63 / 3-4 / 191
A Bayesian approach to diagnostics for multivariate control charts 111:Y QCAS / 63 / 3-4 / 193
Robust multivariate control chart based on goodness-of-fit test 111:Y QCAS / 63 / 3-4 / 195
A robust multivariate EWMA control chart for detecting sparse mean shifts 111:Y QCAS / 63 / 3-4 / 197
Significance analysis of high-dimensional, low-sample size partially labeled data 210:Y QCAS / 63 / 3-4 / 201
Small sample inferences on the Sharpe ratio 210:Y QCAS / 63 / 3-4 / 203
Sample size determination strategies for normal tolerance intervals using historical data 240:Y QCAS / 63 / 3-4 / 205
Optimal random sample size based on Bayesian prediction of exponential lifetime and application to real data 240:Y QCAS / 63 / 3-4 / 207
New heights: Applying Six Sigma to achieve accurate, effective translation 314:Y QCAS / 63 / 3-4 / 209
Under Advisement: Learning quality through experience while improving the student academic experience 314:Y QCAS / 63 / 3-4 / 211
Valence- and arousal-focused emotional clusters among highly-satisfied customers 359:Y QCAS / 63 / 3-4 / 215
Saddlepoint p-values for two-sample bivariate tests 511:Y QCAS / 63 / 3-4 / 219
Confidence regions for level differences in growth curve models 511:Y QCAS / 63 / 3-4 / 221
A high-dimension two-sample test for the mean using cluster subspaces 511:Y QCAS / 63 / 3-4 / 223
Testing hypothesis for a simple ordering in incomplete contingency tables 511:Y QCAS / 63 / 3-4 / 225
On the efficient determination of optimal Bayesian experimental designs using ABC: A case study in optimal observation of epidemics 512:Y QCAS / 63 / 3-4 / 227
A new Weibull-G family of distributions 519:Y QCAS / 63 / 3-4 / 229
Survival analysis modeling with hidden censoring 519:Y QCAS / 63 / 3-4 / 233
Bayesian inference of Weibull distribution based on left truncated and right censored data 519:Y QCAS / 63 / 3-4 / 235
Quality quandaries: Impact of only below limit of detection data 519:Y QCAS / 63 / 3-4 / 237
Confirmation runs in design of experiments 520:Y QCAS / 63 / 3-4 / 239
Identifying the structure of the experimental design 520:Y QCAS / 63 / 3-4 / 243
An experimental diagnostic procedure to identify the source of defects in multi-stage and multi-component production processes 520:Y QCAS / 63 / 3-4 / 245
Optimal designs for quadratic regression with random block effects: The case of block size two 520:Y QCAS / 63 / 3-4 / 247
A comparison of two-level designs to estimate all main effects and two factor interactions 529:Y QCAS / 63 / 3-4 / 249
The difference between “equivalent” and “not different” 529:Y QCAS / 63 / 3-4 / 251
Using design of experiments methods for applied computational fluid dynamics: A case study 529:Y QCAS / 63 / 3-4 / 253
A stratified two-stage unrelated randomized response model for estimating a rare sensitive attribute based on the Poisson distribution 529:Y QCAS / 63 / 3-4 / 255
Two-level screening designs derived from binary nonlinear codes 529:Y QCAS / 63 / 3-4 / 257
Small mixed-level screening designs with orthogonal quadratic effects 529:Y QCAS / 63 / 3-4 / 259
Bayesian nonparametric multiple testing 551:Y QCAS / 63 / 3-4 / 261
Optimal stop-loss reinsurance: A dependence analysis 390:Y QCAS / 63 / 3-4 / 305
Measuring maturity: Process maturity measurements can help predict results in an organizational system 720:Y QCAS / 63 / 3-4 / 307
Decide and conquer: A Pugh matrix can help teams appraise situations, evaluate choices 740:Y QCAS / 63 / 3-4 / 309