Improving the product reliability is the main concern in both manufacturing and service processes which is obtained by monitoring the reliability-related quality characteristics. Nowadays, products or services are the result of processes with dependent stages referred to as multistage processes. In these processes, the quality characteristic in each stage is affected by the quality characterist...

The reliability data is getting used to monitor and improve the quality of products or services. Nowadays, most of products or services are the results of processes with dependent stages referred to as multi-stage process. In these processes, the quality characteristics are affected by the quality characteristics in the previous stages, called as cascade property. In some cases, it is not possi...

In most modern manufacturing systems, products are often the output of some multistage processes. In these processes, the stages are dependent on each other, where the output quality of each stage depends also on the output quality of the previous stages. This property is called the cascade property. Although there are many studies in multistage process monitoring, there are fewer works on prof...

conclusions parametric models may provide complementary data for clinicians and researchers about how risks vary over time. the weibull model seemed to show the best fit among the parametric models of the survival of hemodialysis patients. results the results of a multivariate analysis of the variables in the parametric models showed that the mean serum albumin and the clinic attended were the ...

When a parametric survival analysis is considered, we assume that the survival time (or a function of it) follows a given theoretical distribution (or model) and has an explicit relationship with the covariates (Lee and Wang, 2003). Survival time models that can be linearized by taking logs are called ‘accelerated failure time’ (AFT) models. In AFT models the effect of covariates is multiplicat...

accelerated failure time (AFT) model, 227 accuracy quality control (AQCg; AQCp), MetaQC package, 41 aCGH (array comparative genomic hybridization), 333, 403 AD (Alzheimer’s disease), 102–103 adaptively weighted Fisher’s (AW-Fisher’s) method, 43 adjusted Rand index, 242 Affymetrix arrays, 400–401 AFT (accelerated failure time) model, 227 allele frequencies, comparison of, 14f allele-specific bin...

background and purpose: the goal of this study is application of the proportional hazards model (ph) and accelerated failure time model (aft), with consideration weibull distribution, to determine the level of effectiveness of the factors affecting on the level of disease-free survival (dfs) of the patients with breast cancer. materials and methods: based on the retrospective descriptive studie...

Monitoring the reliability of products in both the manufacturing and service processes is of main concern in today’s competitive market. To this end, statistical process control has been widely used to control the reliability-related quality variables. The so-far surveillance schemes have addressed processes with independent quality characteristics. In multistage processes, however, the cascade...

In the literature, a lot of effort has been devoted to develop effective estimation and inference methods for the accelerated failure time (AFT) model for right censored data. In the talk, we will give a review on the recent development on the estimation and inference methods for the AFT model based on the work in [Jin et al., 2003] and [Jin et al., 2004].