The geometric-Poisson exponentially weighted moving average (EWMA) chart has been shown to be more effective than the Poisson EWMA chart in monitoring the number of defects in the production processes. In these applications, it is assumed that the process parameters are known or have been accurately estimated. However, in practice, the process parameters are rarely known and must be estimated f...

To keep an eye on the status of high-quality processes for fraction nonconforming, synthetic double sampling (SDS) np chart is a helpful tool. The SDS hybrid between (DS) and conforming run length (CRL) chart. performance control typically judged solely using average (ARL). However, as shape (RL) distribution varies with magnitude shift in process ARL no longer provides clear interpretation cha...

by proposing a predictive method with no adjustable parameter and by using infinite dilution activity coefficients of components in binary mixtures obtained from unifac model, the binary interaction parameters (k12) in van der waals mixing rule (vdwmr) and orbey-sandler mixing rule (osmr) have been evaluated. the predicted binary interaction parameters are used in peng-robinson-stryjek-vera equ...

Observations are generated according to a regression with normal error as a function of time, when the process is in control. The process potentially changes at some unknown point of time and then the ensuing observations are normal with the same mean function plus an arbitrary function under suitable regularity conditions. The problem is to obtain a stopping rule that is optimal in the sense t...

We present an expectation-maximization method for optimizing Markov process transition probabilities to increase the mutual information rate achievable when the Markov process is transmitted over a noisy finitestate machine channel. The method provides a tight lower bound on the achievable information rate of a Markov process over a noisy channel and it is conjectured that it actually maximizes...

Multi-wave self-report data on age at menopause in 2182 female twin pairs (1355 monozygotic and 827 dizygotic pairs), were analysed to estimate the genetic, common and unique environmental contribution to variation in age at menopause. Two complementary approaches for analysing correlated time-to-onset twin data are considered: the generalized estimating equations (GEE) method in which one can ...

A wideband source in high speed networks is typically represented by a binary random process. In this paper we characterize the second-order properties of each binary source by a multi-state MMPP. A comprehensive numerical study is carried out to identify the individual eeect of the source second-order dynamics on the queue length and loss rate. The results can be used to verify the validity of...

Motivated by applications in genomics, finance, and biomolecular simulation, we introduce a Bayesian framework for modeling changepoints that tend to co-occur across multiple related data sequences. We infer the locations and sequence memberships of changepoints in our hierarchical model by developing efficient Markov chain Monte Carlo sampling and posterior mode finding algorithms based on dyn...

In this paper, a new acoustic model called time-inhomogeneous hidden Bernoulli model (TI-HBM) is introduced as an alternative to hidden Markov model (HMM) in continuous speech recognition. Contrary to HMM, the state transition process in TI-HBM is not a Markov process, rather it is an independent (generalized Bernoulli) process. This difference leads to elimination of dynamic programming at sta...