Two-phase sampling strategies for design-based mapping of
continuous spatial populations in environmental surveys |
210:Y |
341 |
Spatial spread sampling using weakly associated vectors |
210:Y |
343 |
Improved small-sample estimation of nonlinear cross-validated prediction metrics |
210:Y |
345 |
Doubly robust inference with nonprobability survey samples |
210:Y |
347 |
Forward event-chain Monte Carlo: Fast sampling by randomness control in irreversible Markov chains |
210:Y |
349 |
Spatial sampling design using generalized Neyman-Scott process |
220:Y |
351 |
Threshold-based subgroup testing in logistic regression models
in two-phase sampling designs |
220:Y |
353 |
Three-form split questionnaire design for panel surveys |
230:Y |
355 |
Do coefficients of variation of response propensities approximate non-response biases during survey data collection? |
230:Y |
357 |
Incorporating animal movement into distance sampling |
290:B |
359 |
Covariance-based sample selection for heterogeneous data:
Applications to gene expression and autism risk gene detection |
290:Y |
361 |
Synthetic microdata for establishment surveys under informative sampling |
290:Y |
365 |
Quality 4.0 – The challenging future of quality engineering |
310:Y |
367 |
Simulated Six Sigma: A multi response optimization |
314:Y |
369 |
Impact of data-driven decision-making in Lean Six Sigma: An empirical analysis |
314:Y |
371 |
Comparative analysis of Lean and Six Sigma improvement projects: Performance, changes, investment, time and complexity |
314:Y |
373 |
The link between quality management and innovation performance: A content analysis of survey-based research |
321:Y |
375 |
Corporate social responsibility on customer behavior: The mediating role of corporate image and customer satisfaction |
321:Y |
379 |
A corporate social responsibility (CSR) model: A QFD-based approach |
323:Y |
383 |
Integrating quality function deployment and failure mode and effect analysis in subcontract selection |
323:Y |
385 |
Use of customer satisfaction measurements to drive improvements |
329:Y |
389 |
Quality managers and their future technological expectations related to Industry 4.0 |
339:Y |
393 |
Firm preparation for ISO 9001 certification: The case of the hotel industry in Portugal |
342:Y |
395 |
ISO 9001:2015: The evolution and convergence of quality management and knowledge management for competitive advantage |
342:Y |
397 |
Questioning the efficacy of quality assurance frameworks for teaching and learning: A case study from East Africa |
390:T |
399 |
Investigating changes in TQM’s effects on corporate social performance and financial performance over time |
410:Y |
401 |
A proposal for a scale measuring innovation in a total quality management context |
410:Y |
403 |
Modeling price cultivation for major quality goods |
440:Y |
405 |
Linking customer satisfaction with financial performance: An empirical study of Scandinavian banks |
490:Y |
409 |
Classification accuracy as a proxy for two-sample testing |
511:Y |
411 |
Variational inference for stochastic block models from sampled data |
512:Y |
413 |
Causal inference, social networks and chain graphs |
512:Y |
415 |
Somewhere between utopia and dystopia: Choosing from multiple incomparable prospects |
519:Y |
417 |
Estimating minimum effect with outlier selection |
519:Y |
419 |
Do spatial designs outperform classic experimental designs? |
520:Y |
421 |
Mean service metrics: Biased quality judgement and the customer-server quality gap |
670:S |
425 |
Data-driven software reliability evaluation under incomplete knowledge on fault count distribution |
730:Y |
429 |
An effective method for online disease risk monitoring |
790:B |
433 |
Cyber-physical attack vulnerabilities in manufacturing quality control tools |
790:Y |
435 |
Challenges and new methods for designing reliability experiments |
820:Y |
439 |
A practical approximation of Weibull renewal function for solving relevant optimization problems |
820:Y |
443 |
dP-FMEA: An innovative failure mode and effects analysis for distributed manufacturing processes |
840:Y |
447 |
The use of D-optimal design in an expanded gauge R&R study |
890:Y |
451 |
Journal Contents |
|
455 |
Subject Index |
|
503 |
Author Index |
|
505 |