Anova and minque type of estimators for the one-way random effects model

The one-way random effects model with unequal variances and unequal sample sizes is considered. Estimation of the variances, variance of a single observation (total variance), and the standard error of the unweighted mean are considered. Precision of the Analysis of Variance and Unweighted Sums of Squares type of estimators and the Minimum Norm Quadratic Unbiased Estimators with a priori weights are examined.     

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.