A Bayesian method for classification and discrimination

We discuss Bayesian analyses of traditional normal-mixture models for classification and discrimination. The development involves application of an iterative resampling approach to Monte Carlo inference, commonly called Gibbs sampling, and demonstrates routine application. We stress the benefits of exact analyses over traditional classification and discrimination techniques, including the ease with which such analyses may be performed in a quite general setting, with possibly several normal-mixture components having different covariance matrices, the computation of exact posterior classification probabilities for observed data and for future cases to be classified, and posterior distributions for these probabilities that allow for assessment of second-level uncertainties in classification.     

“WHAT DOES SHE SEE IN HIM?”: THE EFFECT OF SHARING ON THE CHOICE OF SPOUSE

All husbands and wives share in the spoils of marriage. Sharing makes each partner a residual claimant and encourages spouses to provide marital inputs. However, because each spouse is only a partial residual claimant, each may be inclined to provide a "suboptimal" level of marital inputs. The choice of spouse influences the level of distortion, and under some circumstances the efficient mating is between individuals of equal value     

Improving performance? The adoption and implementation of quality systems in U.K. nonprofits

There are increasing and multiple pressures on nonprofit organizations to demonstrate excellence in performance. Although there is a growing literature on the various approaches to performance improvement taken by nonprofits, little is known about the processes involved in the adoption and implementation of specific approaches. This article is about the adoption and use of one approach to performance improvement, “quality systems,” in the U.K. nonprofit sector. We report findings about factors that encourage nonprofits to adopt quality systems. We also analyze the distinctive challenges of implementing quality approaches in a nonprofit sector context and suggest critical success factors. The article concludes with a discussion of the organizational and policy implications of applying the management concepts of quality and performance to the nonprofit sector.     

Labor relations and technological change at Canadian Pacific Railway

There was a time in this fair land when the railroad did not run When the wild majestic mountains stood alone against the sun Long before the white man and long before the wheel When the green dark forest was too silent to be real For they looked into the future and what did they see They saw an iron road running from the sea to the sea Bringing the goods to a young growing land All up through the seaports and into their hands From “Canadian Railroad Trilogy” by Gordon Lightfoot The authors thank CPR managers and union officials representing CPR employees for their cooperation and patience in explaining the intricacies of the railroad industry. Special appreciation is extended to Jason Copping, Labour Relations Manager, for his facilitating our initial access to the company.     

In Whose Backyard?: Concern About Siting a Nuclear Waste Facility*

Proponents of hazardous and nuclear waste depositories label opponents to local siting of such facilities “NIMBYs” (Not In My Backyard). This study assesses the extent to which the NIMBY label and the strategies of industry proponents to reduce opposition function on a reasonable set of assumptions. Using survey data and multiple regression techniques, the levels of concern of residents living in the county selected as the site of a low level radioactive waste disposal facility (imminent threat condition) are compared with a statewide sample (hypothetical threat condition). Consistent with proponents' theoretical assumptions, the levels of concern are greater for respondents under conditions of imminent threat than of hypothetical threat. However, within the host county, levels of concern are lowest, albeit most polarized, in the community closest to the proposed site. A conflict theory approach enhances an understanding of these findings by suggesting that within the most proximate community levels of concern are lowest for citizens who stand to gain the most economic benefits from the facility but highest for those citizens who are least likely to derive tangible gains.