in this paper, we study the estimation problems for the two-parameter exponentiated gumbel distribution based on lower record values. an exact confidence interval and an exact joint confidence region for the parameters are constructed. a simulation study is conducted to study the performance of the proposed confidence interval and region. finally, a numerical example with real data set is given...

OBJECTIVE The purpose of this project was to assess the effectiveness of using the Delphi process to create a structured simulation-based procedural skills curriculum for all students at the Keck School of Medicine of the University of Southern California (KSOM). METHODS The Delphi process was used to develop a list of procedural skills that students are expected to perform competently prior ...

BACKGROUND Shoklo Malaria Research Unit has been providing health care in remote clinics on the Thai-Myanmar border to refugee and migrant populations since 1986 and 1995, respectively. Clinics are staffed by local health workers with a variety of training and experience. The need for a tool to improve the competence of local health workers in basic emergency assessment and management was recog...

When considering a Monte Carlo estimation procedure, the path produced by successive partial estimates is often used as a guide for informal convergence diagnostics. However the confidence region associated with that path cannot be derived simplistically from the confidence interval for the estimate itself. An asymptotically correct approach can be based on the Brownian motion approximation of ...

The Computer-Based Alternative Assessment (CBAA) project is concerned with finding ways to answer these questions for all levels of students from elementary through university. Project activities involve developing and testing alternative means to enhance educational assessment with confidence measurement, analysis of self-awareness, and performance evaluation. The research demonstrates how com...

Long term prediction of maximum water levels and combined sewer overflow (CSO) in drainage systems are associated with large uncertainties. Especially on rainfall inputs, parameters, and assessment of return periods. This paper proposes a Monte Carlo based methodology for stochastic prediction of both maximum water levels as well as CSO volumes based on operations of the urban drainage model MO...

Fingerprint-based localization methods provide high accuracy location estimation, which use machine learning algorithms to recognize the statistical patterns of collected data. In these methods, users’ locations can be estimated based on received signal strength vectors from some transmitters. However, data collection is a labor-intensive phase, and should updated periodically. Many researchers...