In this paper, we propose a Multiple Dependent State Sampling (MDSS) plan for decision-making on lot acceptance/rejection based properties of current and preceding lots sampled. The uses the Odd Log-Logistic Generalized Exponentiated (OLLGE) distribution to determine median life product through truncated-time test. Optimal parameters such as sample size, numbers, are obtained using operating ch...

We developed a multiple state transition path sampling (TPS) approach in which it is possible to simultaneously sample pathways connecting a number of different stable states. Based on the original formulation of the TPS we have extended the path ensemble to include trajectories connecting not only two distinct stable states but any two states defined within a system. The multiple state TPS app...

Online monitoring of high-dimensional processes variability in which the number variables is larger than sample size a challenging issue for quality practitioners because covariance matrix not invariable. To deal with this challenge, generalized multiple dependent state sampling (GMDS) chart based on ridge penalized likelihood ratio (RPLR) statistic developed Phase II multivariate process under...

Techniques for plan recognition under uncertainty require a stochastic model of the plangeneration process. We introduce probabilistic state-dependent grammars (PSDGs) to represent an agent’s plan-generation process. The PSDG language model extends probabilistic contextfree grammars (PCFGs) by allowing production probabilities to depend on an explicit model of the planning agent’s internal and ...

In myelodysplastic syndrome (MDS), the expression of the cyclin-dependent kinase inhibitor p15(ink4B) (p15) is frequently decreased because of the aberrant methylation of the gene promoter; p15 is normally up-regulated during megakaryocytic differentiation. It was hypothesized that p15 methylation and deregulation of gene expression contribute to defective megakaryocytopoiesis in patients with ...