Linear filter model representations for integrated process control with repeated adjustments and monitoring

An integrated process control (IPC) procedure is a scheme which combines the engineering process control (EPC) and the statistical process control (SPC) procedures for the process where the noise and a special cause are present. The most efficient way of reducing the effect of the noise is to adjust the process by its forecast, which is done by the EPC procedure. The special cause, which produces significant deviations of the process level from the target, can be detected by the monitoring scheme, which is done by the SPC procedure. The effects of special causes can be eliminated by a rectifying action. The performance of the IPC procedure is evaluated in terms of the average run length (ARL) or the expected cost per unit time (ECU). In designing the IPC procedure for practical use, it is essential to derive its properties constituting the ARL or ECU based on the proposed process model. The process is usually assumed as it starts only with noise, and special causes occur at random times afterwards. The special cause is assumed to change the mean as well as all the parameters of the in-control model. The linear filter models for the process level as well as the controller and the observed deviations for the IPC procedure are developed here.     

Inside the blogosphere: A taxonomy and framing analysis of abortion weblogs

This study analyses weblog abortion-related content sampled via a search and snowball method. When weblogs located inside of established media Web sites and other weblogs are compared, they are equivalent in the use of advocacy versus objectivist frames. Media weblog posts contain a political frame more frequently than non-media weblog posts do. In terms of diversity of frame, media weblogs employ more frames in their stories. Various explanations for these findings are offered in the context of current abortion-related content patterns.     

An efficient curve in stochastic capacity expansion

An optimum expansion of a single capacity is considered when the installation cost is very large and future demand is given by an evolving process of Wiener. Risk of expansion is evaluated and included in the decision criteria which links the capacity expansion problem with financial investment theory, Numerical results show the existence of an optimum expansion capacity and an efficient curve which represent the optimum choices with respect to the possible combinations of expansion cost and risk.     

Where angels fear to tread: Richard Schoenherr (1935–1996)

Richard Schoenherr, professor of sociology at the University of Wisconsin — Madison, passed away unexpectedly on 9 January 1996. He is memorialized in this essay for his scholarly contributions in the areas of teaching, research, and service.     

Censored Kullback-Leibler Information and Goodness-of-Fit Test with Type II Censored Data

The Kulback-Leibler information has been considered for establishing goodness-of-fit test statistics, which have been shown to perform very well (Arizono & Ohta, 1989; Ebrahimi et al., 1992, etc). In this paper, we propose censored Kullback-Leibler information to generalize the discussion of the Kullback-Leibler information to the censored case. Then we establish a goodness-of-fit test statistic based on the censored Kullback-Leibler information with the type 2 censored data, and compare the test statistics with some existing test statistics for the exponential and normal distributions.     

Gender in Academic Career Tracks: The Case of Korean Biochemists

How important is academic performance in obtaining a tenure‐track position in academic science? I use data on Korean biochemists and analyze them from both institutionalist and gender perspectives. In so doing, I illustrate the ways academic performance and gender interact with one another to maintain a gender barrier for Ph.D.s entering an academic career. The main findings are as follows. First, academic productivity did influence the job market outcomes, but the male scientists benefited from publications in both SCI and non‐SCI journals, whereas the female scientists benefited only from those in SCI journals. I also found a positive effect of overseas doctoral training only for the female scientists. Such analysis suggests that women as a minority in academic science are pressured to prove their legitimacy through more rigorous criteria of academic performance. Thus, ostensibly gender‐neutral rules of academic performance can be applied in such a way as to maintain gender inequality.