Weighted CUSUM control charts for monitoring Poisson processes with varying sample sizes |
110:Y |
17 |
A non-parametric exponentially weighted a moving average
signed-rank chart for monitoring location |
110:Y |
19 |
Adaptive R charts with variable parameters |
110:Y |
21 |
Design and analysis of control charts for standard deviation
with estimated parameters |
110:Y |
23 |
Robust location estimators for the X̄ control chart |
111:Y |
25 |
CUSUM control charts for monitoring optimal portfolio
weights |
111:Y |
27 |
A generalized Cp criterion for derivative estimation |
120:Y |
29 |
Deming, data and observational studies: A process out of
control and needing fixing |
120:Y |
31 |
A LASSO-based diagnostic framework for multivariate
statistical process control |
130:Y |
33 |
Distance functions for matching in small samples |
210:Y |
37 |
Using statistical models for sample design of a reinterview program |
210:Y |
41 |
Simple random sampling equivalent survey design for elimination of undesirable samples |
210:Y |
45 |
Bayesian analysis of the patterns of biological susceptibility
via reversible jump MCMC sampling |
210:Y |
47 |
Sharpening Wald-type inference in robust regression for small samples |
210:Y |
49 |
The effect of cluster sampling on the covariance and
correlation matrices of sample distribution functions |
210:Y |
51 |
A further assessment of momentary time-sampling across extended interval lengths |
210:Y |
53 |
A bootstrap test for symmetry based on ranked set samples |
210:Y |
55 |
How many were there when it mattered? Estimating the sizes
of crowds |
230:Y |
57 |
Selection of one-stage sample size in Chen-Chen-Chang’s R̃ test and an evaluation of the performance of R̃ |
240:Y |
59 |
Growth: Measure your Six Sigma program’s maturity and find areas to improve |
314:A |
61 |
Natural selection: Six Sigma will die at organizations that
don’t adapt to change |
314:A |
63 |
Is Six Sigma dead? If it is, how can we revive it? |
314:A |
65 |
Pushback prevention |
319:A |
67 |
Site seeing: New audit approach helps assess risk throughout
an organization |
341:A |
69 |
Supporting role: Can a refined ISO 9004 better complement
ISO 9001? |
342:A |
71 |
Quality risk in offshore manufacturing: Evidence from pharmaceutical Industry |
351:Y |
73 |
A partially linear regression model for data from an outcome-dependent sampling design |
510:Y |
75 |
Testing hypotheses in Birnbaum-Saunders distribution under
type-censored samples |
511:Y |
77 |
A pretest for using logrank or Wilcoxon in two-sample problem |
511:Y |
79 |
Optimal estimating functions in incomplete data and length biased sampling data problems, Jing Qin and Biao Zhang |
512:Y |
81 |
RFID to improve traceability in continuous granular flows –
An experimental case study |
519:Y |
83 |
Optimization of designed experiments based on multiple
criteria utilizing a Pareto frontier |
520:Y |
85 |
Simulated annealing model search for subset selection in screening experiments |
520:Y |
87 |
Some inferential procedures in randomized repeated measurement design for binary response |
520:Y |
89 |
Multi-treatment optimal response-adaptive designs for phase
III clinical trials |
520:Y |
91 |
Fractional Box-Behnken designs for one-step response surface methodology |
525:Y |
93 |
Optimal semifoldover plans for two-level orthogonal designs |
529:Y |
97 |
A case study involving mixture-process variable experiments
within a split-plot structure |
529:Y |
101 |
Design of experiments for categorical repeated measurements
in packet communication networks |
529:Z |
103 |
Subsample ignorable likelihood for regression analysis with missing data |
540:Y |
105 |
A truncated logistic regression model in probability of
detection evaluation |
540:Y |
109 |
Fitting regression models with response–biased samples |
540:Y |
111 |
Subset selection in Poisson regression |
549:Y |
113 |
A comparative study of nonparametric estimation in Weibull regression: A penalized likelihood approach |
549:Y |
115 |
Nonparametric monitoring of data streams for changes in location and scale |
551:Y |
117 |
The effect of the work and physical environment on hospital nurses’ perceptions and attitudes: Service quality ad commitment |
670:B |
121 |
Consumer decision-making strategies and use of hospital
quality measures |
690:B |
123 |
The Duke University scandal – What can be done? |
690:Z |
125 |
Quality measurement in the healthcare supply chain |
710:B |
127 |
The role of quality measures in pre- and post-decision analysis
of an organizational change |
710:Y |
129 |
HU goes there |
740:Y |
133 |
The reliability estimation, prediction and measuring of component-based software |
850:Y |
135 |
Simulation based analysis of middleware service impact on system reliability: Experiment on Java Application server |
850:Y |
137 |
A systematic literature review of software quality cost research |
850:Y |
139 |