1
C. A. Acosta-Mejía,
Improved p-charts to monitor process quality,
IIE Trans. 31 (1999), 509–516.
Google Scholar
2
C.-S. Cheng and P.-W. Chen,
An ARL-unbiased design of time-between-events control charts with runs rules,
J. Stat. Comput. Simul. 81 (2011), 857–871.
Web of ScienceGoogle Scholar
3
M. F. Freeman and J. W. Tukey,
Transformations related to the angular and the squared root,
An. Math. Stat. 21 (1950), 607–611.
Google Scholar
4
B. Guo and B. X. Wang,
The design of the ARL-unbiased s2 chart when the in-control variance is estimated,
Qual. Reliab. Eng. Int. 31 (2015), 501–511.
Google Scholar
5
B. Guo, B. X. Wang and M. Xie,
ARL-unbiased control charts for the monitoring of exponentially distributed characteristics based on type-ii censored samples,
J. Stat. Comput. Simul. 84 (2014), 2734–2747.
Web of ScienceGoogle Scholar
6
A. Hald,
Statistical Theory with Engineering Applications,
John Wiley & Sons, New York, 1952.
Google Scholar
7
X. Huang and F. Pascual,
ARL-unbiased control charts with alarm and warning lines for monitoring Weibull percentiles using the first-order statistic,
J. Stat. Comput. Simul. 81 (2011), 1677–1696.
Web of ScienceGoogle Scholar
8
L. Huwang, C.-J. Huang and Y.-H. T. Wang,
New EWMA control charts for monitoring process dispersion,
Comput. Stat. Data Anal. 54 (2010), 2328–2342.
Web of ScienceGoogle Scholar
9
N. L. Johnson and S. Kotz,
Distributions in Statistics: Discrete Distributions,
Houghton Mifflin Company, Boston, 1969.
Google Scholar
10
S. Knoth and M. C. Morais,
On ARL-unbiased control charts,
Proceedings of the XIth International Workshop on Intelligent Statistical Quality Control
(2013), 31–50.
Google Scholar
11
S. Knoth and M. C. Morais,
On ARL-unbiased control charts,
Frontiers in Statistical Quality Control 11,
Springer, Cham (2015), 95–117.
Google Scholar
12
E. L. Lehmann,
Testing Statistical Hypotheses,
John Wiley & Sons, New York, 1959.
Google Scholar
13
F. Pascual,
EWMA charts for the Weibull shape parameter,
J. Quality Tech. 42 (2010), 400–416.
Google Scholar
14
S. R. B. B. Paulino,
An ARL,-unbiased c-charts for i.i.d. and INAR(1) Poisson counts
Master thesis, Department of Mathematics, Instituto Superior Técnico, University of Lisbon, 2015.
Google Scholar
15
S. Paulino, M. C. Morais and S. Knoth,
An ARL-unbiased c-chart,
Qual. Reliab. Eng. Int., to appear.
Google Scholar
16
J. J. J. Pignatiello, C. A. Acosta-Mejía and B. V. Rao,
The performance of control charts for monitoring process dispersion,
4th Industral Engineering Research Conference Proceedings
(1995), 320–328.
Google Scholar
17
C. P. Quesenberry,
SPC Q charts for a binomial parameter: Short and long runs,
J. Quality Tech. 23 (1991), 239–246.
Google Scholar
18
T. P. Ryan,
Statistical Methods for Quality Improvement,
John Wiley & Sons, New York, 1989.
Google Scholar
19
T. P. Ryan and N. C. Schwertman,
Optimal limits for attribute control charts,
J. Quality Tech. 29 (1997), 86–98.
Google Scholar
20
M. Schader and F. Schmid,
Two rules of thumb for the approximation of the binomial distribution by the normal distribution,
Amer. Statist. 43 (1989), 23–24.
Google Scholar
21
W. A. Shewhart,
Quality control charts,
Bell System Tech. J. 5 (1926), 593–603.
Google Scholar
22
S.-F. Yang and B. C. Arnold,
Monitoring process variance using an ARL-unbiased EWMA-p control chart,
Qual. Reliab. Eng. Int. (2015), 10.1002/qre.1829.
Google Scholar
23
C. W. Zhang, M. Xie and T. N. Goh,
Design of exponential control charts using a sequential sampling scheme,
IIE Trans. 38 (2006), 1105–1116.
Google Scholar
24
C. W. Zhang, M. Xie and T. Jin,
An improved self-starting cumulative count of conforming chart for monitoring high-quality processes under group inspection,
Int. J. Prod. Res. 50 (2012), 7026–7043.
Web of ScienceGoogle Scholar
25
L. Zhang, K. Govindaraju, M. Bebbington and C. D. Lai,
On the statistical design of geometric control charts,
Qual. Tech. Quant. Manage. 2 (2004), 233–243.
Google Scholar
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