Sampling design and sample selection through distribution theory |
210:Y |
QCAS / 50 / 1 / 25 |
A survey technique for estimating the proportion and sensitivity in a dichotomous finite population |
230:Y |
QCAS / 50 / 1 / 31 |
The future of TQM is past. Can TQM be resurrected? |
310:Y |
QCAS / 50 / 1 / 33 |
Use basic quality tools to manage your processes |
311:Y |
QCAS / 50 / 1 / 35 |
The real art of strategic planning |
319:Y |
QCAS / 50 / 1 / 39 |
As easy as 10001, 2, 3 |
342:Y |
QCAS / 50 / 1 / 51 |
Using the Malcolm Baldrige National Award in teaching: One criteria, several perspectives |
343:Y |
QCAS / 50 / 1 / 55 |
Bayes/frequentist compromise decision rules for Gaussian sampling |
512:Y |
QCAS / 50 / 1 / 63 |
Two-stage designs for identification and estimation of polynomial models |
512:Y |
QCAS / 50 / 1 / 69 |
Two statistical paradoxes in the interpretation of group differences: Illustrated with medical school admission and licensing data |
512:Y |
QCAS / 50 / 1 / 73 |
Qualitative ordinal scales: The concept of ordinal range |
519:Y |
QCAS / 50 / 1 / 77 |
Using logistic regression to evaluate new lid designs |
540:Y |
QCAS / 50 / 1 / 79 |
Continuous improvements of complex technical systems: A theoretical quality management framework supported by requirements management and health management |
690:Y |
QCAS / 50 / 1 / 109 |
Quality loss functions for nonnegative variables and their applications |
120:Y |
QCAS / 49 / 6 / 603 |
Proposal and implementation of the “Science SQC” quality control principle |
190:Y |
QCAS / 49 / 6 / 607 |
An application of adaptive sampling to estimate highly localized population segments |
210:Y |
QCAS / 49 / 6 / 609 |
Optimal sampling for repeated binary measurements |
210:Y |
QCAS / 49 / 6 / 611 |
Estimation with link-tracing sampling design – A Bayesian approach |
210:Y |
QCAS / 49 / 6 / 613 |
Continuous sampling plans for Markov-dependent production processes under limited inspection capacity |
220:Y |
QCAS / 49 / 6 / 617 |
A simultaneous analysis of interviewer effects on various data quality indicators with identification of exceptional interviewers |
230:Y |
QCAS / 49 / 6 / 619 |
100 years of Juran |
300:Y |
QCAS / 49 / 6 / 623 |
Quality from scratch: A model for small business |
310:Y |
QCAS / 49 / 6 / 627 |
The fallacy of universal best practices |
311:Y |
QCAS / 49 / 6 / 631 |
Development of a measure to assess quality management in certified firms |
313:Y |
QCAS / 49 / 6 / 639 |
Six Sigma – Strategy for organizational excellence |
319:Y |
QCAS / 49 / 6 / 643 |
Quality management using ISO 9000 for price indices in the UK |
342:Y |
QCAS / 49 / 6 / 649 |
ISO 9000: Outside the iron cage |
342:Y |
QCAS / 49 / 6 / 653 |
ISO 9000 performance in Japanese industries |
342:Y |
QCAS / 49 / 6 / 655 |
ISO quality standards for measuring architectures |
342:Y |
QCAS / 49 / 6 / 657 |
An exploratory study on accounting for quality improvement in China |
410:Y |
QCAS / 49 / 6 / 661 |
The impact of country-of-origin cues on consumer perceptions of product quality: A binational test of the decomposed country-of-origin construct |
490:Y |
QCAS / 49 / 6 / 665 |
Hypothesis testing in mixture regression models |
511:Y |
QCAS / 49 / 6 / 669 |
Comparison of two normal populations with restricted means |
512:Y |
QCAS / 49 / 6 / 671 |
The effectiveness of randomized complete block design |
522:Y |
QCAS / 49 / 6 / 673 |
Nonparametric regression analysis of uncertain and imprecise data using belief functions |
540:Y |
QCAS / 49 / 6 / 677 |
Censored generalized Poisson regression model |
540:Y |
QCAS / 49 / 6 / 679 |
Assessing customer perceptions of website service quality in digital marketing environments |
650:Y |
QCAS / 49 / 6 / 685 |
Physical distribution service quality in internet retailing: Service pricing, transaction attributes and firm attributes |
690:Y |
QCAS / 49 / 6 / 695 |
Silver pellets for improving software quality |
850:Y |
QCAS / 49 / 6 / 697 |
why software reliability growth modeling should define errors of different severity |
850:Y |
QCAS / 49 / 6 / 699 |
Supporting risks in software project management |
850:Y |
QCAS / 49 / 6 / 703 |
Design of multiple cause-selecting charts for multistage processes |
110:Y |
QCAS / 49 / 5 / 489 |
Robust individuals control chart for exploratory analysis |
110:Y |
QCAS / 49 / 5 / 495 |
The run length distribution of the CUSUM with estimated parameters |
110:Y |
QCAS / 49 / 5 / 499 |
Alternatives to the multivariate control chart for process dispersion |
111:Y |
QCAS / 49 / 5 / 503 |
Residual control charts for improving changeover productivity |
111:Y |
QCAS / 49 / 5 / 507 |
Bayesian sampling plans for exponential distribution based on uniform random censored data |
111:Y |
QCAS / 49 / 5 / 509 |
Application of neuro-fuzzy inference for process capability evaluation |
120:Y |
QCAS / 49 / 5 / 513 |
A statistical process control framework for the characterization of variation in batch profiles |
130:Y |
QCAS / 49 / 5 / 515 |
Data quality in statistical process control |
190:Y |
QCAS / 49 / 5 / 519 |
Testing for homogeneity of relative differences under inverse sampling |
210:Y |
QCAS / 49 / 5 / 523 |
Inverse double sampling from mixture populations |
210:Y |
QCAS / 49 / 5 / 527 |
Using system dynamics to illustrate Deming’s system of profound knowledge |
310:Y |
QCAS / 49 / 5 / 529 |
Quality management practices in Indian ISO 9000 certified companies: An empirical evaluation |
342:Y |
QCAS / 49 / 5 / 537 |
Motivation and efficiency of quality management systems implementation: A study of Lithuanian organizations |
410:Y |
QCAS / 49 / 5 / 539 |
Quality improvement under budgetary and life-cycle restraints |
440:Y |
QCAS / 49 / 5 / 545 |
John W. Tukey and data analysis |
510:Y |
QCAS / 49 / 5 / 549 |
John Tukey and robustness |
510:Y |
QCAS / 49 / 5 / 553 |
A probability index of the robustness of a causal inference |
512:Y |
QCAS / 49 / 5 / 557 |
Simple pilot procedures for the avoidance of disconnected experimental designs |
520:Y |
QCAS / 49 / 5 / 559 |
Factorial experiments when factor levels are not necessarily reset |
520:Y |
QCAS / 49 / 5 / 561 |
Multiresponse robust design: A general framework based on combined array |
529:Y |
QCAS / 49 / 5 / 563 |
Empiricial study of QS-9000 using principal component analysis and robust regression |
540:Y |
QCAS / 49 / 5 / 567 |
Finite sample properties for the semiparametric estimation of the intercept of a censored regression model |
540:Y |
QCAS / 49 / 5 / 571 |
Knowledge conversion and practical use with information technology in Korean companies |
650:Y |
QCAS / 49 / 5 / 573 |
Quality control in a semi-continuous polymer production process |
660:Y |
QCAS / 49 / 5 / 575 |
Clustering of event sequences for failure root cause analysis |
740:Y |
QCAS / 49 / 5 / 583 |
On the reliability of a two-component series system |
820:Y |
QCAS / 49 / 5 / 587 |
On the application of stochastic models in nuclear power plant maintenance |
840:Y |
QCAS / 49 / 5 / 591 |
Performance evaluation of dynamic monitoring systems: The waterfall chart |
110:Y |
QCAS / 49 / 4 / 361 |
The reverse moving average control chart for monitoring autocorrelated processes |
110:Y |
QCAS / 49 / 4 / 365 |
The generally weighted moving average control chart for detecting small shifts in the process mean |
110:Y |
QCAS / 49 / 4 / 369 |
A control chart method for ordinal data |
111:Y |
QCAS / 49 / 4 / 375 |
Optimum mean location in a poor-capability process |
120:Y |
QCAS / 49 / 4 / 377 |
Process capability analysis of a product family of larger-the-better |
120:Y |
QCAS / 49 / 4 / 379 |
An empirical indicator of product appearance for process control |
190:Y |
QCAS / 49 / 4 / 381 |
Context-based statistical process control: A monitoring procedure for state-dependent processes |
190:Y |
QCAS / 49 / 4 / 383 |
Finding optimal estimators in survey sampling using unbiased estimators of zero |
210:Y |
QCAS / 49 / 4 / 387 |
Optimal sampling design under a spatial correlation model |
210:Y |
QCAS / 49 / 4 / 391 |
Two-phase list-assisted RDD sampling |
210:Y |
QCAS / 49 / 4 / 395 |