Inferences on the Means of Two Log-Normal Distributions: A Computational Approach Test

In this article, we propose a novel approach for testing the equality of two log-normal populations using a computational approach test (CAT) that does not require explicit knowledge of the sampling distribution of the test statistic. Simulation studies demonstrate that the proposed approach can perform hypothesis testing with satisfying actual size even at small sample sizes. Overall, it is superior to other existing methods. Also, a CAT is proposed for testing about reliability of two log-normal populations when the means are the same. Simulations show that the actual size of this new approach is close to nominal level and better than the score test. At the end, the proposed methods are illustrated using two examples.     

A new long-term survival model with dispersion induced by discrete frailty

Lifetime Data Analysis - Frailty models are generally used to model heterogeneity between the individuals. The distribution of the frailty variable is often assumed to be continuous. However, there...     

Trends in the Race and Ethnicity of Eminent Americans

During the last several decades, the ethnic and racial composition of the American elite has changed to include some ethnic minorities and women. This study examines changes in the composition of one segment of the American elite: those who have obtained eminence in their occupations. Lieberson and Carter's study of the ethnic composition of eminent Americans, using Who's Who in America, is replicated with data from the 1990s (Lieberson and Carter, 1979, American Sociological Review 44:347–366). In addition, comparisons between blacks listed in Who's Who in America and blacks listed only in Who's Who among Black Americans are made. During the 20 years since Lieberson and Carter's study, Jews have made remarkable gains in eminent membership, while the rate of black representation has increased only moderately. Women are a small percentage of the eminent regardless of ethnicity, although black women are better represented than their counterparts in white ethnic groups.     

The identification of logistic regression models with errors in the variables

The simple logistic regression model with normal measurement error and normal regressor is shown to be identifiable without any extra information about the measurement error. The multiple logistic regression model with more than one regressor variable measured with error is not identifiable. If the covariance matrix of the measurement error is known up to a scalar factor, the model is identified. Further we discuss why in spite of the identifiability the models cannot be estimated in a reasonable way without extra information about the measurement error.     

Educational Attainments of Immigrant Offspring: Success or Segmented Assimilation?1

In this article, I study the educational attainments of the adult offspring of immigrants, analyzing data from the 1996 panel of the Survey of Labour and Income Dynamics (SLID). Fielded annually since 1993 by Statistics Canada, respondents are asked for the first time in 1996 to report the birthplaces of their parents, making it possible to define and study not only the foreign‐born population (the first generation), but also the second generation (Canadian born to foreign‐born parents) and the third‐plus generation (Canadian born to Canadian‐born parents). The survey also asked respondents to indicate if they are members of a visible minority group, thus permitting a limited assessment of whether or not color conditions educational achievements of immigrant offspring. I find that “1.5” and second generation adults, age 20–64 have more years of schooling and higher percentages completing high school compared with the third‐plus generation. Contrary to the segmented “underclass” assimilation model found in the United States, adult visible minority immigrant offspring in Canada exceed the educational attainments of other not‐visible‐minority groups. Although the analysis is hampered by small sample numbers, the results point to country differences in historical and contemporary race relations, and call for additional national and cross‐national research.     

Adolescent Protective Factors Promoting Resilience in Young Adults at Risk for Depression

In a longitudinal, community-based study, adolescent protective factors for those at risk for depression were identified that were associated with resilient outcomes in young adulthood. For those with childhood risk factors for major depression, significant protective factors included family cohesion, positive self appraisals, and good interpersonal relations. Findings may help inform the development of prevention and treatment programs for adolescents vulnerable to depression. Implications for future research and clinical practice are discussed.     

Luxembourg's Foreign Policy: Does Small Size Help or Hinder?

As a very small state, Luxembourg would not appear to qualify as an influential foreign policy actor either in Europe or the world. Yet the country's international influence has long belied its reputation as a small state. This article reviews the literature on small-state foreign policy and finds that it offers numerous contradictory conclusions. As a case study it then addresses Luxembourg in the 1990s, with particular attention to two themes: its active participation in the European Union (EU) and its policies directed at maintaining economic prosperity. The paper goes on to explain Luxembourgish foreign policy behaviour through three levels of analysis and assesses to what extent smallness is a benefit or a hindrance to Luxembourg's success in meeting its international goals.