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parameter θ of the connecting copula for the water maximum discharges and water volumes are obtained. The isolines for C …
Persistent link: https://www.econbiz.de/10009294675
depend through a c+1 copula C. We will consider two models: first when the customer does not know the order of service times …
Persistent link: https://www.econbiz.de/10008742999
dominance of the leader. For this purpose we use the notion of copula, which connects two or more random variables with given … parameter of the copula is computed using the value of Kendall. …
Persistent link: https://www.econbiz.de/10009004848
Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control situations. The model used is the one involving...
Persistent link: https://www.econbiz.de/10005621235
Control Charts are the main tools of Statistical Process Control. They are used for deciding whether a process is statistically stable or not. Much theory and many applications have been developed for the Gaussian (Normal) distribution in this area. However, in real data sets we usually face up...
Persistent link: https://www.econbiz.de/10005621246
Woodall and Montgomery in a discussion paper, state that multivariate process control is one of the most rapidly developing sections of statistical process control. Nowadays, in industry, there are many situations in which the simultaneous monitoring or control, of two or more related quality -...
Persistent link: https://www.econbiz.de/10005623293
In this paper two new bivariate distributions are defined and studied. They are two-variate versions of the folded normal distribution (Leone et al. 1961) and the folded t distribution (Psarakis and Panaretos 1990). They both arise in the context of evaluating the predictive behaviour of two...
Persistent link: https://www.econbiz.de/10005623402
In this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review multivariate extensions for all kinds of univariate control charts, such as multivariate Shewhart-type control charts, multivariate CUSUM...
Persistent link: https://www.econbiz.de/10005623529
The identification of the out of control variable, or variables, after a multivariate control chart signals, is an appealing subject for many researchers in the last years. In this paper we propose a new method for approaching this problem based on principal components analysis. Theoretical...
Persistent link: https://www.econbiz.de/10005616718
In this paper, some new indices for ordinal data are introduced. These indices have been developed so as to measure the degree of concentration on the “small” or the “large” values of a variable whose level of measurement is ordinal. Their advantage in relation to other approaches is...
Persistent link: https://www.econbiz.de/10005619349