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Articles 1 - 4 of 4
Full-Text Articles in Business
A Review Of International Best Practice In E-Governmentsome Lessons For New Adopters, Deogratias Harorimana Sr
A Review Of International Best Practice In E-Governmentsome Lessons For New Adopters, Deogratias Harorimana Sr
Dr Deogratias Harorimana
Efficient bureaucratic processes as essential to attract and retain investment, as well as promote SME growth. The e_Gov is one of many ways emerging economies have used to streamline public service delivery and create a freindly and conducive atmosphere for business -both MNC and SMEs. This presentation provide an overview of some of the World's most recent case examples on the successful design-plan-implementation of eGov to build a strong basis to attract investment and deliver seamless essential services to Citizens.
Computational Thinking In A Game Design Course, Amber Settle
Computational Thinking In A Game Design Course, Amber Settle
Amber Settle
Bond Volatility Transmissions Between United States And European Markets, Seth Kulman
Bond Volatility Transmissions Between United States And European Markets, Seth Kulman
Senior Honors Projects
Bond Volatility Transmissions Between United States and European Markets
Seth Kulman
Faculty Sponsor: Gordon Dash, Finance and Decision Sciences
Recent events have illustrated the degree of connection between the world’s economies. Economic events occurring in one country are felt in countless others, most vividly demonstrated by the onset of a worldwide recession following the financial collapse in the United States. Volatility no longer stays contained within one local economy.
The purpose of this study is to examine volatility spillovers between the United States and European bond markets. To identify volatility effects in a given country, we will be using a …
Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard
Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard
Economics Faculty Publications
This presentation was part of a staff workshop focused on empirical methods and applied research. This includes a basic overview of regression with matrix algebra, maximum likelihood, inference, and model assumptions. Distinctions are made between paradigms related to classical statistical methods and algorithmic approaches. The presentation concludes with a brief discussion of generalization error, data partitioning, decision trees, and neural networks.