Digital Commons Network^™

Stock Market Correlations To Economic Indicators, Anthony K. Quandt

Honors Theses

For this project, I researched how representative the S&P 500 (a common index of choice to represent the market) is of the economic well-being of the US. I found that stock market data can be used an as indicator of the economic well-being of the U.S.. The results do not indicate that the stock market leads to recovery, but it does suggest that it is correlated with recovery. In my analysis, I compared the S&P 500 performance to four different economic indicators: Real Gross Domestic Product (GDP), The Consumer Price Index (CPI), Average Weekly Private Wages, and Unemployment Rate. A …

Seasonal Grassland Productivity Forecast For The U.S. Great Plains Using Grass-Cast, Melannie D. Hartman, William J. Parton, Justin D. Derner, Darin K. Schulte, William K. Smith, Dannele E. Peck, Ken A. Day, Stephen J. Del Grosso, Susan Lutz, Brian Fuchs, Maosi Chen, Wei Gao

Drought Mitigation Center: Faculty Publications

Every spring, ranchers in the drought-prone U.S. Great Plains face the same difficult challenge —trying to estimate how much forage will be available for livestock to graze during the upcoming summer grazing season. To reduce this uncertainty in predicting forage availability, we developed an innovative new grassland productivity forecast system, named Grass-Cast, to provide science-informed estimates of growing season aboveground net primary production (ANPP). Grass-Cast uses over 30 yr of historical data including weather and the satellite-derived normalized vegetation difference index (NDVI)—combined with ecosystem modeling and seasonal precipitation forecasts—to predict if rangelands in individual counties are likely to produce below-normal, …

North Central West Virginia Economic Outlook 2021-2025, Brian Lego, John Deskins

Bureau of Business & Economic Research

North Central West Virginia has been one of the state’s strongest and steadiest economic regions for the past decade or so. The four-county area did lose some jobs during 2019, but those losses were tied to court-ordered delays of pipeline construction projects and layoffs at a large manufacturer rather than a deterioration in the area’s underlying economic fundamentals. Despite the region’s solid economic foundation, the COVID-19 pandemic did strike a major blow to the region’s economy in early-2020 and continues to affect the area to this day. In this report, we present a detailed discussion of North Central West Virginia’s …

Wheeling Area Economic Outlook: 2021-2025, Brian Lego, John Deskins

Bureau of Business & Economic Research

The Wheeling Area economy has seen large swings in economic activity over the past several years. Surging energy production and massive increases in pipeline construction activity fueled strong economic growth during 2017 and 2018. By contrast, the completion of pipeline projects and two large hospital closures weighed on area payrolls in 2019 before the COVID-19 pandemic dealt the regional economy a major blow in early-2020. In this report, we present a detailed discussion of the Wheeling Area economy along with our forecast for regional economic conditions for the next five years.

A Novel Path Loss Forecast Model To Support Digital Twins For High Frequency Communications Networks, James Marvin Taylor Jr

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

The need for long-distance High Frequency (HF) communications in the 3-30 MHz frequency range seemed to diminish at the end of the 20th century with the advent of space-based communications and the spread of fiber optic-connected digital networks. Renewed interest in HF has emerged as an enabler for operations in austere locations and for its ability to serve as a redundant link when space-based and terrestrial communication channels fail. Communications system designers can create a “digital twin” system to explore the operational advantages and constraints of the new capability. Existing wireless channel models can adequately simulate communication channel conditions with …

Law Library Blog (January 2020): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

An Univariable Approach For Forecasting Workload In The Maintenance Industry, Paulo Silva, Fernando Pérez Téllez, John Cardiff

Articles

The forecasting of the workload in the maintenance industry is of great value to improve human resources allocation and reduce overwork. In this paper, we discuss the problem and the challenges it pertains. We analyze data from a company operating in the industry and present the results of several forecasting models.

Combined General Vector Machine For Single Point Electricity Load Forecast, Binbin Yong, Yongqiang Wei, Jun Shen, Fucun Li, Xuetao Jiang, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

General Vector Machine (GVM) is a newly proposed machine learning model, which is applicable to small samples forecast scenarios. In this paper, the GYM is applied into electricity load fore­cast based on single point modeling method. Meanwhile, traditional time series forecast models, including back propagation neural network (BPNN), Support Vector Machine (SVM) and Autoregressive Integrated Moving Average Model ( ARIMA), are also experimented for single point electricity load forecast. Further, the combined model based on GYM, BPNN, SVM and ARIMA are proposed and verified. Results show that GYM performs better than these traditional models, and the combined model outperforms any …

Applying Time Series Modeling To Assess The Dynamics And Forecast Monthly Reports Of Abuse, Neglect And/Or Exploitation Involving A Vulnerable Adult, Nelís Soto-Ramírez, Janet Odeku, Courtney Foxe, Cynthia Flynn, Diana Tester

Faculty and Staff Publications

Background

Application of time series modeling to predict reports related to maltreatment of vulnerable adults can be helpful for efficient early planning and resource allocation to handle a high volume of investigations. The goal of this study is to apply: (1) autoregressive integrated moving average (ARIMA) time series modeling to fit and forecast monthly maltreatment reports accepted for assessment reported to adult protective services (APS), and (2) interrupted time series analysis to test whether the implementation of intake hubs have a significant impact in the number of maltreatment reports after the implementation period.

Methods

A time series analysis on monthly …

Weather Information Needs Of Displaced Artisanal Fishermen In Bakassi Pennisula Nigeria, Friday O. Idiku, Kalu Iroha Ogbonna, Patrick Ogar Ogar, Goodness Mosiokpahe David

Library Philosophy and Practice (e-journal)

Abstract

Information on weather forecast is necessary to guide fishermen on their fishing adventure. The purpose of this study was assessed the weather information needs of displaced fishermen in Bakassi Pennisula, Nigeria. This study was conducted in Bakassi which is a peninsula on the Gulf of Guinea that lies between latitudes 4°25′ and 5°10′N and longitudes 8°20′ and 9°08′E. It has an area of 665 km² (257 sq mi) with displaced Fishermen settling in the area who were the main respondents. It was a descriptive study. One hundred and five (105) displaced fishermen were randomly selected as respondents using snowball …