Confidence Intervals and Upper Bounds for Small Signals in the Presence of Background Noise

We discuss a new method for setting limits on small signals in the presence of background noise. The method is based on a combination of a two dimensional confidence region and the large sample approximation to the likelihood ratio test statistic. It automatically quotes upper limits for small signals and two-sided confidence intervals for larger samples. We show that this method gives the correct coverage and also has good power.Comment: Document was created by Sciword V3.0, it consists of one main document (lrt.tex), eight figures (figure1.eps - figure8.eps) and one table (table.tex). Paper was revised after being accepted for publication in NIM A Paper was revised after being accepted for publication in NIM

Limits and Confidence Intervals in the Presence of Nuisance Parameters

We study the frequentist properties of confidence intervals computed by the method known to statisticians as the Profile Likelihood. It is seen that the coverage of these intervals is surprisingly good over a wide range of possible parameter values for important classes of problems, in particular whenever there are additional nuisance parameters with statistical or systematic errors. Programs are available for calculating these intervals.Comment: 6 figure

Alien Registration- Cousins, Hazel M. (Portland, Cumberland County)

https://digitalmaine.com/alien_docs/24086/thumbnail.jp

Alien Registration- Cousins, Hazel M. (Portland, Cumberland County)

https://digitalmaine.com/alien_docs/24086/thumbnail.jp

Alien Registration- Cousins, Hazel M. (Portland, Cumberland County)

https://digitalmaine.com/alien_docs/24086/thumbnail.jp

Correcting the Minimization Bias in Searches for Small Signals

We discuss a method for correcting the bias in the limits for small signals if those limits were found based on cuts that were chosen by minimizing a criterion such as sensitivity. Such a bias is commonly present when a "minimization" and an "evaluation" are done at the same time. We propose to use a variant of the bootstrap to adjust the limits. A Monte Carlo study shows that these new limits have correct coverage.Comment: 14 pages, 5 figue

The Mt. Desert Congregational Church, Tremont, Maine, 1792-1895 : Historical Sermons and Notes

A published transcript of a sermon delivered at Somesville, Bass Harbor and South West Harbor, Maine, May 12, 1895 by Rev. Edgar M. Cousins along with notes on previous ministers of the Congregational Church, deacons, clerks, places of worship, and extracts from town records of Mt. Desert furnished by E. M. Hamor of Eden, Maine

The Case for Participatory Evaluation

Participatory evaluation is presented as an extension of the stakeholder-based model with a focus on enhancing evaluation utilization through primary users’ increased depth and range of participation in the applied research process. The approach is briefly described and then justified from theoretical and empirical bases. The literature on organizational learning provides theoretical support for participatory evaluation stemming primarily from the view that knowledge is socially constructed and cognitive systems and memories are developed and shared by organization members. Twenty-six recent empirical studies were found to support an organizational learning justification of the model. Studies were classified into one of six emergent categories: conceptions of use; effects of participation on the use of research; effects of participation on the use of disseminated knowledge; effects of research training; school-university partnerships; and internal evaluation. Requirements of organizations and evaluators and an agenda for research are discussed

Critical orientations for humanising health sciences education in South Africa

In this article, the authors make a case for the ’humanisation' and ’decolonisation' of health sciences curricula in South Africa, using integration as a guiding framework. Integration refers to an education that is built on a consolidated conceptual framework that includes and equally values the natural or biomedical sciences as well as the humanities, arts and social sciences, respecting that all of this knowledge has value for the practice of healthcare. An integrated curriculum goes beyond add-on or elective courses in the humanities and social sciences. It is a curriculum that includes previously marginalised sources of knowledge (challenging knowledge hierarchies and decolonising curricula); addresses an appropriate intellectual self-image in health sciences education (challenging the image of the health professional); promotes understanding of history and social context, centring issues of inclusion, access and social justice (cultivating a social ethic) and finally, focuses on care and relatedness as an essential aspect of clinical work (embedding relatedness in practice). The article offers a brief historical overview of challenges in health and health sciences education in South Africa since 1994, followed by a discussion of contemporary developments in critical health sciences pedagogies and the medical and health humanities in South Africa. It then draws on examples from South Africa to outline how these four critical orientations or competencies might be applied in practice, to educate health professionals that can meet the challenges of health and healthcare in contemporary South Africa