The Feeling Edge of Culture

During the 1960s, the new generation changed the American Creed by deemphasizing sensitivity to evidence, emphasizing feelings and deductive thought, while assuming an adversarial position against the sociopolitical order and embracing the American Black's struggle against racism. Driven by pain, fueled by fear and anger and oriented by existential values of being the Civil Rights Movement, sought to actualize political values of justice and equality. As peaceful demonstrations dwindled, violence increased, converting individual anger to social rage. Anger's cognitive structure changed the concept of society into a dichotomy of Black victims and Ulhite oppressors, forming an ethic of sensitivity with victims occupying the moral high ground. Pain and tragedy were banished from view and blamed on oppressors as individual identities divested civil traits and acquired cultural identity, disuniting the civil society. Rubbing against the American Creed, the ethic ofsensitivity produced a feeling of malaise posing a threat to mentaL health.     

Estimation of relaxation time distributions in magnetic resonance imaging

Magnetic resonance imaging techniques can be used to measure some biophysical properties of tissue. In this context, the T₂ relaxation time is an important parameter for soft‐tissue contrast. The authors develop a new technique to estimate the integral of the distribution of T₂ relaxation time without imposing any constraint other than the monotonicity of the underlying cumulative relaxation time distribution. They explore the properties of the estimation and its applications for the analysis of breast tissue data. As they show, an extension of linear discriminant analysis is found to distinguish well between two classes of breast tissue.     

Bayesian Binomial Regression: Predicting Survival at a Trauma Center

Standard methods for analyzing binomial regression data rely on asymptotic inferences. Bayesian methods can be performed using simple computations, and they apply for any sample size. We provide a relatively complete discussion of Bayesian inferences for binomial regression with emphasis on inferences for the probability of “success.” Furthermore, we illustrate diagnostic tools, perform model selection among nonnested models, and examine the sensitivity of the Bayesian methods.     

Intercounty Variability of Net Migration at Older Ages as a Path‐Dependent Process

This article seeks to identify factors associated with the formation and development of nonmetropolitan destinations for older in‐migration, thereby explaining why some U.S. counties are more likely than others to be nonmetro retirement destinations. We contend that most nonmetro retirement destinations are established and developed over time through a path‐dependent process. When amenities are commodified as recreation and tourism, migration streams tend to be established that ultimately produce sustained in‐migration of older persons to selected destination communities. We use data from a variety of official sources and a spatial statistics methodology to examine intercounty variability in net migration rates at ages 60–74. Our findings are consistent with the aforementioned path‐dependent development framework. Counties with a long history of population growth, previous experience attracting older in‐migrants, attractive natural amenities, and a developed recreation and tourism industry are those most likely to be retirement‐age migration destinations. In contrast, agricultural heartland and relatively large population size are associated with lower rates of older in‐migration. Older in‐migration should be seen as neither a panacea for strapped rural communities nor a “pensions and care issue.” Older migrants can be “gray gold,” but they can also pose challenges, such as possibly increased demand for public services as they age in place.     

Asymptotic equivalence of the harrell-davis median estimator and the sample median

This paper presents an asymptotic equivalence result with a sharp rate of convergence forthe sample median and the Harrell-Davis median estimator. The consequences of this result are discussed.     

Optimum spacings for the joint estimation and tests of hypothesis of location and scale parameters of the cauchy distribution

A simultaneous test for the location and scale parameters of the Cauchy distribution is considered based on selected order statistics.. It is shown that optimum spacings that maximise the Pitman ARE of the test coincide with that of the optimum spacings for the estimation problem.     

A multivariate solution of the multivariate ranking and selection problem

The problem of selection of the best multivariate population is given a new formulation which does not involve reducing the populations to univariate quantities. This formulation's solution is developed for known, and (using the Heteroscedastic Method) also for unknown, variance-covariance matrices. Preference reversals and arbitrary nonlinear preference functions are explicitly allowed in this new theory     

On a nonparametric test for the mixed-model

Nonparametric tests for the null hypothesis of no treatment effect in the mixed-model experiment which involves n randomly chosen subjects who respond once to each of ρ distinct treatments have been developed by Koch and Sen (1968), These tests were based on the assumption of compound symmetry of the error vectors and on the weaker assumption of diagonal symmetry of the error vectors. This paper considers an alternative (permutationally) distribution-free test under this latter assumption. The new test follows the same type of distribution theory as those in Koch and Sen, but utilizes the inherent invariance structure in a more visable and direct way.