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A new chart for monitoring the covariance matrix of bivariate processes
(Taylor & Francis Inc, 2014)
The Shewhart attribute chart with alternated charting statistics to monitor bivariate and trivariate mean vectors
(2018-08-01)
In this article, we combined the Alternated Charting Statistic (ACS) scheme with the traditional attribute np chart to control mean vectors of bivariate and trivariate normal processes. With the bivariate ACS scheme in use ...
The S chart with variable charting statistic to control bi and trivariate processes
(2017-11-01)
In this article, we propose the S chart with variable charting statistic to control the covariance matrix as an alternative to the use of the bivariate |S| chart and the trivariate VMAX chart. As usual, samples are regularly ...
The T2 chart with mixed samples to control bivariate autocorrelated processes
(2016-06-02)
In this paper, we propose the use of the T2 chart with the mixed sampling strategy (MS) to monitor the mean vector of bivariate processes with observations that fit to a first-order vector autoregressive model. With the ...
Bivariate Hoyt (Nakagami-q) Distribution
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2012)
Bivariate Nakagami-m Distribution with Arbitrary Correlation and Fading Parameters
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2008)
Improved numerical inversion methods for the recovery of bivariate distributions of polymer properties from 2D probability generating function domains
(Elsevier, 2016-07-30)
The 2D probability generating function technique is a powerfulmethod for modeling bivariate distributions of polymer properties. It isbased on the transformation of bivariate population balance equationsusing 2D probability ...
On the moment characteristics for the univariate compound poisson and bivariate compound poisson processes with applications
(Universidad Nacional de Colombia, 2013)
The univariate and bivariate compound Poisson process (CPP and BCPP,respectively) ensure a better description than the homogeneous Poisson processfor clustering of events. In this paper, new explicit representations ofthe ...