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Bayesian first order auto-regressive latent variable models for multiple binary sequences
(SAGE PUBLICATIONS LTD, 2011)
Longitudinal clinical trials often collect long sequences of binary data monitoring a disease process over time. Our application is a medical study conducted in the US by the Veterans Administration Cooperative Urological ...
Double sampling (x)over-bar control chart for a first-order autoregressive moving average process model
(Springer London Ltd, 2008-11-01)
In this paper, we consider the double sampling (DS) (X) over bar control chart for monitoring processes in which the observations can be represented as a first-order autoregressive moving average (ARMA(1, 1)) model. The ...
Double sampling (x)over-bar control chart for a first-order autoregressive moving average process model
(Springer London Ltd, 2008-11-01)
In this paper, we consider the double sampling (DS) (X) over bar control chart for monitoring processes in which the observations can be represented as a first-order autoregressive moving average (ARMA(1, 1)) model. The ...
Double sampling (x)over-bar control chart for a first-order autoregressive moving average process model
(Springer London Ltd, 2014)
Effect of measurement error and autocorrelation on the (X)over-bar chart
(Routledge Journals, Taylor & Francis Ltd, 2011-01-01)
Measurement error and autocorrelation often exist in quality control applications. Both have an adverse effect on the (X) over bar chart's performance. To counteract the undesired effect of autocorrelation, we build-up the ...
Critical points on growth curves in autoregressive and mixed models
(2014-01-01)
Adjusting autoregressive and mixed models to growth data fits discontinuous functions, which makes it difficult to determine critical points. In this study we propose a new approach to determine the critical stability point ...
Critical points on growth curves in autoregressive and mixed models
(Universidade de São Paulo (USP), 2014-01-01)
Adjusting autoregressive and mixed models to growth data fits discontinuous functions, which makes it difficult to determine critical points. In this study we propose a new approach to determine the critical stability point ...
Influence diagnostics for linear models with first-order autoregressive elliptical errors
(ELSEVIER SCIENCE BV, 2009)
We introduce in this paper the class of linear models with first-order autoregressive elliptical errors. The score functions and the Fisher information matrices are derived for the parameters of interest and an iterative ...