Erin Hodgess

Western Governors University | WGU · General Education Math

We considered building high performance tools on the Raspberry Pi 4. We implemented OpenMP and OpenCoarrays Fortran in conjunction with the statistical language R. We found that the OpenCoarrays is more effective when working with vectors, while OpenMP is better in the arena with large matrices in a geostatistics application. These results can be v...

We consider some of the aspects of metacognition as potential teaching tools for computational science. We present definitions within metacognition, along with SMART goals and the concept of a growth mindset. A project is produced for consideration. This project involves learning such varied computational tools as R, Fortran, the Message Passing In...

In generating and exploring hypotheses, analysts often want to know about the relationship between data values across time and space. Often, the analysis begins at a world level view in which the overall temporal trend of the data is analyzed and linear correlations between various factors are explored. However, such an analysis often fails to take...

Given a set of hospital admittance and death records, the challenge was to characterize the spread of a pandemic in terms of the attack and mortality rates, spatiotemporal patterns of onset and the recovery time. We began the analysis by preprocessing the hospital admittance records using the University of Pittsburgh's CoCo classifier. CoCo is a te...

Many time series encountered in practice are nonstationary, and instead are often generated from a process with a unit root. Because of the process of data collection or the practice of researchers, time series used in analysis and modeling are frequently obtained through temporal aggregation. As a result, the series used in testing for a unit root...

In teaching undergraduate time series courses, we have used a mixture of various statistical packages. We have finally been able to teach all of the applied concepts within one statistical package; R. This article describes the process that we use to conduct a thorough analysis of a time series. An example with a data set is provided. We compare th...

A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger vision and expanded distance education program is needed to meet the requirements of turbulent times, a changing student population, and expanded computer literacy. This article sets out guidelines for creating a communication plan and instructional mec...

We propose a procedure generalizing the Wei and Stram univariate disaggregation process for the disaggregation of stationary bivariate time series. We discuss the autocovariance and cross-covariance functions needed to produce the disaggregate series. We show how to derive the order of the bivariate disaggregate model. We illustrate the procedure w...

Given a known aggregate model, we propose two alternative disaggregate models which can be used for data disaggregation. Comparisons with the Wei-Stram model [W. W. S. Wei and D. O. Stram, J. R. Stat. Soc., Ser. B 52, No. 3, 453-467 (1990; Zbl 0706.62082)] are given. The results show that our choices are simpler and lead to more accurate disaggrega...