An update on the Kevorkian-Reding 93 physician-assisted deaths in Michigan: is Kevorkian a savior,serial-killer or suicidal martyr?

This report presents an update of the Kevorkian-Reding physician-assisted (or physician-aided) deaths to include the ninety-three publicly acknowledged cases as of November 25, 1998. These deaths are divided into ten distinct time phases. The following trends emerge. Over two-thirds of the decedents are women, the ratio of females to males varying widely with phase. The proportion of women seems to be the highest when Kevorkian is free to act as he wants and lowest when he seems to be acting under legal or political restraints. Based on autopsy results, only 29.0 percent of the cases are terminal, this percentage being higher among men (37.9%) than among women (25.4%). However, 66.7% of the decedents were disabled, no significant difference emerging between men and women. Further, five out of the six decedents showing no apparent anatomical sign of disease at autopsy were women. Over 80 percent of the physician-assisted deaths are cremated, approximately twice as high a proportion as that emerging for suicides in Michigan and four times as high as cremations occurring with regard to overall deaths. Finally, death by carbon monoxide decreases dramatically with time phase while the use of the contraption dubbed the "suicide machine" increases, suggesting an increasing routinization over time. Finally, during the ninth and tenth phases, Kevorkian's aims and his own suicidality emerge more clearly involving 1) harvesting organs and 2) threat of starving himself in prison if he is convicted. Phase 10 can be seen as an escalation from assisted death to overt euthanasia, repeating the same need for a demonstration (Thomas Youk) that was first exhibited in Phase I (Janet Adkins).     

Semi‐Parametric Models for the Multivariate Tail Dependence Function – the Asymptotically Dependent Case

Abstract. In general, the risk of joint extreme outcomes in financial markets can be expressed as a function of the tail dependence function of a high‐dimensional vector after standardizing marginals. Hence, it is of importance to model and estimate tail dependence functions. Even for moderate dimension, non‐parametrically estimating a tail dependence function is very inefficient and fitting a parametric model to tail dependence functions is not robust. In this paper, we propose a semi‐parametric model for (asymptotically dependent) tail dependence functions via an elliptical copula. Under this model assumption, we propose a novel estimator for the tail dependence function, which proves favourable compared to the empirical tail dependence function estimator, both theoretically and empirically.     

Scheduling professionals in the retail pharmacy chain

To control operating costs, a zero-one integer programming model is developed to assist pharmacy staff scheduling decisions. Variable scheduling needs are met by the assignment of relief (mobile) pharmacists to help or temporarily replace full-time pharmacists. Assignments of relief pharmacists over a two-week planning horizon are determined with consideration given to variations in wage rates and travel costs together with the underlying corporate, contractual and operating constraints. The developed model has been applied with considerable success using data collected from a business district in the US located in northern Louisiana related to a national retail chain pharmacy. Forecasting the number of chain retail outlets in the near future has been also performed and the results obtained argue in favor of adopting the model by the entire chain.