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Extended Joinpoint Regression Methodology for Complex Survey Data. [PDF]
Stat MedLiu B +4 more
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Designing of Variables Repetitive Group Sampling Plan Involving Minimum Average Sample Number
Communications in Statistics - Simulation and Computation, 2005This article proposes the variables repetitive group sampling plan where the quality characteristic follows normal distribution or lognormal distribution and has upper or lower specification limit. The problem is formulated as a nonlinear programming problem where the objective function to be minimized is the average sample number and the constraints ...
Balamurali, S +4 more
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IEEE Transactions on Signal Processing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Yu, Gao, Yongxin, Li, X. Rong
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Yu, Gao, Yongxin, Li, X. Rong
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The Average Sample Number for Truncated Double Sample Attribute Plans
Technometrics, 1971Craig [1] has given a formula for computing the ASN when binomial double sampling is terminated if too many defectives are found in either sample. An alternative form of that result more adaptable to use with tables is given together with the companion result for the hypergeometric case.
W. C. Guenther
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International Journal of Industrial and Systems Engineering, 2015
This paper proposes the optimal designing of variables tightened-normal-tightened sampling scheme for application of measurable characteristics, where the quality characteristic follows normal or lognormal distribution and has upper or lower specification limit.
S. Balamurali, M. Usha
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This paper proposes the optimal designing of variables tightened-normal-tightened sampling scheme for application of measurable characteristics, where the quality characteristic follows normal or lognormal distribution and has upper or lower specification limit.
S. Balamurali, M. Usha
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Average Sample Number for Semi-Curtailed Sampling Using the Poisson
Journal of Quality Technology, 1983Assuming a Poisson model, formulas are derived for the mean number of observations required to reach a decision when sampling is semi-curtailed. It is shown how the result can be obtained from the corresponding binomial solution with the Poisson appro..
W. C. Guenther
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2016 IEEE International Conference on Communications (ICC), 2016
In this paper, we consider the sequential detection problem in a new cognitive radio (CR) scenario when the primary user (PU) works with more than one transmit power levels. The targets of the secondary user (SU) is not only to detect the presence of PU but also to recognize PU's transmit power levels. We formulate a valid sequential detection approach
Shuijun Cheng +4 more
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In this paper, we consider the sequential detection problem in a new cognitive radio (CR) scenario when the primary user (PU) works with more than one transmit power levels. The targets of the secondary user (SU) is not only to detect the presence of PU but also to recognize PU's transmit power levels. We formulate a valid sequential detection approach
Shuijun Cheng +4 more
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BOUNDS FOR THE AVERAGE SAMPLE NUMBER FUNCTION FOR A BINOMIAL SEQUENTIAL TEST
Australian Journal of Statistics, 1977SummaryRecently, Billard (1977) developed a partial sequential procedure for comparing a null hypothesis against a two‐sided alternative hypothesis when the parameter under test is that of the binomial distribution. In that paper, approximations to the operating characteristic and average sample number function were derived. In this note, bounds to the
L. Billard
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