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 |
UMVU estimation of reliability function and stress-strength reliability from proportional reversed hazard family based on lower records |
820:Y |
QCAS / 63 / 3-4 / 311 |
Modified Welch test statistic for ANOVA under Weibull distribution |
820:Y |
QCAS / 63 / 3-4 / 313 |
Maintenance required: Deming’s management method can help you increase employee engagement |
840:Y |
QCAS / 63 / 3-4 / 315 |
Software test process improvement approaches: A systematic literature review and an industrial case study |
850:Y |
QCAS / 63 / 3-4 / 317 |
Quality assurance in software ecosystems: A systematic literature mapping and research agenda |
850:Y |
QCAS / 63 / 3-4 / 321 |
Two-sample testing in high dimensions |
210:Y |
QCAS / 63 / 1-2 / 17 |
Empirical likelihood confidence intervals
for complex sampling designs |
210:Y |
QCAS / 63 / 1-2 / 19 |
Fractional imputation in
survey sampling: A comparative
review |
220:Y |
QCAS / 63 / 1-2 / 23 |
Same old story: On non-use and resistance to the telephone and social media |
230:Y |
QCAS / 63 / 1-2 / 25 |
Respondent-driven sampling bias induced by community structure and response rates in social networks |
230:Y |
QCAS / 63 / 1-2 / 27 |
Rank tests from partially
ordered data using importance and MCMC sampling methods |
290:Y |
QCAS / 63 / 1-2 / 29 |
The epistemological basis for quality management |
310:Y |
QCAS / 63 / 1-2 / 31 |
Enablers of Six Sigma: Contextual framework and its empirical validation |
314:Y |
QCAS / 63 / 1-2 / 33 |
Six Sigma adoption in public utilities: A case study |
314:Y |
QCAS / 63 / 1-2 / 37 |
The knowledge transfer process in Six Sigma subsidiary firms |
314:Y |
QCAS / 63 / 1-2 / 41 |
A quality requirement analysis method using content analysis of SNS |
329:Y |
QCAS / 63 / 1-2 / 43 |
Are customers willing to pay for corporate social responsibility? A study of individual-specific mediators |
332:Y |
QCAS / 63 / 1-2 / 45 |
High-performance work practices and organizational performance in small firms: The role of guanxi |
339:Y |
QCAS / 63 / 1-2 / 57 |
Do satisfied employees lead to satisfied patients? An empirical study in an Italian hospital |
339:Y |
QCAS / 63 / 1-2 / 61 |
Implementation and certifying ISO 14001 in Portugal: Motives, difficulties and benefits after ISO 9001 certification |
342:Y |
QCAS / 63 / 1-2 / 63 |
How innovativeness and institution affect ISO 9000 adoption and its effectiveness: Evidence from small and medium enterprises
in China |
342:Y |
QCAS / 63 / 1-2 / 67 |
Effect of sustainability oriented innovation practices
on the overall organizational performance: An empirical examination |
390:Y |
QCAS / 63 / 1-2 / 71 |
Challenges and design of a data-oriented complaint and failure management |
390:Y |
QCAS / 63 / 1-2 / 73 |
Does intensive social network management lead to positive effects in quality practices? |
390:Y |
QCAS / 63 / 1-2 / 77 |
Impact of quality management practices on quality performance and financial performance: Evidence from Indian manufacturing companies |
410:Y |
QCAS / 63 / 1-2 / 79 |
Planning and reorganizing quality management organizations: An empirical analysis of current practice |
410:Y |
QCAS / 63 / 1-2 / 81 |
Lessons from the history of Samsung’s SCM innovations:
Focus on the TQM perspective |
490:Y |
QCAS / 63 / 1-2 / 87 |
Korean Standard Quality Excellence Index for strategic quality planning and improvement |
490:Y |
QCAS / 63 / 1-2 / 91 |
Technostress from mobile communication and its impact on quality of life and productivity |
490:Y |
QCAS / 63 / 1-2 / 95 |
Hypothesis testing for automated community detection in networks |
511:Y |
QCAS / 63 / 1-2 / 97 |
Confidence intervals for the ratio of two Poisson rates under one-way differential misclassification using double sampling |
512:Y |
QCAS / 63 / 1-2 / 99 |
Exploiting structure of maximum likelihood estimators for extreme value threshold selection |
512:Y |
QCAS / 63 / 1-2 / 101 |
Modeling extreme hurricane damage using the generalized Pareto distribution |
519:Y |
QCAS / 63 / 1-2 / 103 |
Comparing two binary diagnostic tests with repeated measurements |
529:Y |
QCAS / 63 / 1-2 / 105 |
A dose-schedule finding design for phase I-II clinical trials |
529:Y |
QCAS / 63 / 1-2 / 107 |
Optimizing two-level supersaturated designs using swarm intelligence techniques |
529:Y |
QCAS / 63 / 1-2 / 109 |
k-sample upper expectation linear regression: Modeling, identifiability, estimation and prediction |
541:Y |
QCAS / 63 / 1-2 / 111 |
Nonparametric estimation of interval reliability for
discrete-time semi-Markov systems |
551:Y |
QCAS / 63 / 1-2 / 113 |
Learning to create value through the ‘balanced scorecard’ model: An empirical study |
710:Y |
QCAS / 63 / 1-2 / 145 |
Perfect sampling for nonhomogeneous Markov chains
and hidden Markov models |
210:Y |
QCAS / 62 / 5-6 / 429 |
Using ranked set sampling with cluster randomized designs for
improved inference on treatment effects |
220:Y |
QCAS / 62 / 5-6 / 431 |
Sample size and power of survival trials in
group sequential design with delayed treatment effect |
240:Y |
QCAS / 62 / 5-6 / 433 |
Dense graph limits under respondent-driven sampling |
290:Y |
QCAS / 62 / 5-6 / 435 |
The screening and ranking algorithm for change-points
detection in multiple samples |
290:Y |
QCAS / 62 / 5-6 / 437 |
RAPTT: An exact two-sample test in high dimensions
using random projections |
290:Y |
QCAS / 62 / 5-6 / 441 |
Parsimonious and efficient likelihood composition
by Gibbs sampling |
290:Y |
QCAS / 62 / 5-6 / 445 |
Global corporation rollout of ruggedized handheld devices:
A Lean Six Sigma case study |
314:Y |
QCAS / 62 / 5-6 / 447 |
Quality management in heavy duty manufacturing industry:
TQM vs. Six Sigma |
314:Y |
QCAS / 62 / 5-6 / 449 |
Implementation of continuous improvement based on
Lean Six Sigma in small- and medium-sized enterprises |
314:Y |
QCAS / 62 / 5-6 / 451 |
Lean Six Sigma and innovation:
An exploratory study among UK organisations |
314:Y |
QCAS / 62 / 5-6 / 453 |
A paired-test method to verify service speed improvement
in the Six Sigma approach: A restaurant’s case study |
314:Y |
QCAS / 62 / 5-6 / 455 |
Creating ambidexterity through quality management |
319:Y |
QCAS / 62 / 5-6 / 457 |