Robust estimation methods for exponential data: a monte-carlo comparison

We compare the performance of seven robust estimators for the parameter of an exponential distribution. These include the debiased median and two optimally-weighted one-sided trimmed means. We also introduce four new estimators: the Transform, Bayes, Scaled and Bicube estimators. We make the Monte Carlo comparisons for three sample sizes and six situations. We evaluate the comparisons in terms of a new performance measure, Mean Absolute Differential Error (MADE), and a premium/protection interpretation of MADE. We organize the comparisons to enhance statistical power by making maximal use of common random deviates. The Transform estimator provides the best performance as judged by MADE. The singly-trimmed mean and Transform method define the efficient frontier of premium/protection.     

Contextualization and Context Theorizing in Teams Research: A Look Back and a Path Forward

In this paper we review recent field research on teams in the workplace with the objective to help advance research about teams and their external context. We investigate contextualization by reviewing the research settings in which teams have been studied, and we investigate context theorizing by reviewing work where external context variables have been explicitly modeled. We propose guidelines to improve contextualization and avenues to explore context theorizing.     

An Examination of Public Private Academic Partnerships: Does Program Success Enhance University Performance Outcomes?

In response to a steady decline in State funding, universities have become heavily involved in a variety of public private academic partnerships (PPAPs) in such areas as medical research, business incubation, technological commercialization, continuing professional education, and intercollegiate athletics. Despite this trend, research which examines if such partnerships actually enhance university funding is rare within the public organization literature. Given this, we focus on university intercollegiate athletics programs, which represent one of the largest PPAPs ever undertaken by universities, to examine whether PPAP success can potentially enhance university performance outcomes leading to increased funding levels. Such programs represent a PPAP because public, private, and academic entities all come together to form an organization (division 1 football at the bowl subdivision level) which seeks to benefit all three entities through sharing resources and responsibilities. Study results showed that athletic success positively influenced a variety of university performance outcome variables such as enrollments and endowments. While results indicate that PPAP success can enhance university funding, we also suggest modifications that should enhance the chances that PPAPs will be successful.     

A two-sample empirical likelihood ratio test based on samples entropy

Powerful entropy-based tests for normality, uniformity and exponentiality have been well addressed in the statistical literature. The density-based empirical likelihood approach improves the performance of these tests for goodness-of-fit, forming them into approximate likelihood ratios. This method is extended to develop two-sample empirical likelihood approximations to optimal parametric likelihood ratios, resulting in an efficient test based on samples entropy. The proposed and examined distribution-free two-sample test is shown to be very competitive with well-known nonparametric tests. For example, the new test has high and stable power detecting a nonconstant shift in the two-sample problem, when Wilcoxon’s test may break down completely. This is partly due to the inherent structure developed within Neyman-Pearson type lemmas. The outputs of an extensive Monte Carlo analysis and real data example support our theoretical results. The Monte Carlo simulation study indicates that the proposed test compares favorably with the standard procedures, for a wide range of null and alternative distributions.     

A linear model-based test for the heterogeneity of conditional correlations

Current methods of testing the equality of conditional correlations of bivariate data on a third variable of interest (covariate) are limited due to discretizing of the covariate when it is continuous. In this study, we propose a linear model approach for estimation and hypothesis testing of the Pearson correlation coefficient, where the correlation itself can be modeled as a function of continuous covariates. The restricted maximum likelihood method is applied for parameter estimation, and the corrected likelihood ratio test is performed for hypothesis testing. This approach allows for flexible and robust inference and prediction of the conditional correlations based on the linear model. Simulation studies show that the proposed method is statistically more powerful and more flexible in accommodating complex covariate patterns than the existing methods. In addition, we illustrate the approach by analyzing the correlation between the physical component summary and the mental component summary of the MOS SF-36 form across a fair number of covariates in the national survey data.     

Unmet home care service needs of rural older adults with Alzheimer's disease: a perspective of informal caregivers

This study assessed unmet service needs of rural older adults with Alzheimer's disease (AD) and identified factors that were related to these needs. Data were collected from 109 informal caregivers of AD patients. Over half of the patients experienced unmet service needs in 1 or more areas of activities of daily functioning. Informal caregiver burden and patient's gender and functional status were significantly related to patients' unmet service needs. Patients' use of formal services was marginally related to their unmet service needs. To better address patients' service needs, a comprehensive needs assessment should be conducted with both patients and their caregivers.     

Painting in a Different Kind of Void

The reception of Forrest Bess's work has primarily portrayed the artist as a “visionary” without external influence. By doing this, critics have downplayed the historical and cultural moment of Bess's productions and, subsequently, the well-developed interpretive models available from the history of art. This essay positions Bess and his work within the New York School of painting and its critical discourses of gendered metaphors and heteronormative formal evaluation. Recognizing how the artist participated in the conventions of vanguard painting of this time period offers new insights into Bess's singular style. Bess's works reveal the blind spots created by the visual grammar of Abstract Expressionism in his attempts to figure his repressed same-sex desires.     

Partner‐specific relationship characteristics and condom use among young people with sexually transmitted diseases

This study describes associations of partner‐specific relationship characteristics with consistent condom use among 297 young people (ages 13–24) with sexually transmitted diseases (STD). Relationship‐specific variables were relationship quality, reasons for sex, relationship duration, duration of sexual relationship, coital frequency, “established” versus “new” sexual partner, cohabitation, children, sexual coercion, and drug or alcohol use associated with coitus. Relationship characteristics associated with consistent condom use included lower relationship quality, lower emotional reasons for sex, lower coital frequency, sex with a new partner, noncohabitation, and not having a child with the partner. Controlling for sociodemographic variables, factors exhibiting independent associations with consistent condom use were lower relationship quality, lower coital frequency, and not having a child with the partner. While condom use with potentially high risk new partners is important, other types of relationships are also risky but associated with lower likelihood of consistent condom use. Better understanding of complex relationship characteristics is necessary to improve STD intervention programs.