Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Central Bank of Nigeria (21)
- California Polytechnic State University, San Luis Obispo (6)
- Old Dominion University (6)
- City University of New York (CUNY) (5)
- Southern Methodist University (5)
-
- Clemson University (4)
- East Tennessee State University (4)
- University at Albany, State University of New York (4)
- University of Kentucky (4)
- University of New Mexico (4)
- Virginia Commonwealth University (4)
- COBRA (3)
- Chapman University (3)
- Claremont Colleges (3)
- Purdue University (3)
- The University of Akron (3)
- University of Arkansas, Fayetteville (3)
- University of Nebraska - Lincoln (3)
- Georgia Southern University (2)
- Louisiana State University (2)
- Universitas Indonesia (2)
- Wilfrid Laurier University (2)
- Andrews University (1)
- Binghamton University (1)
- Brigham Young University (1)
- Central Washington University (1)
- Florida Institute of Technology (1)
- James Madison University (1)
- Kennesaw State University (1)
- Michigan Technological University (1)
- Keyword
-
- Time series (6)
- Forecasting (5)
- Machine learning (5)
- COVID-19 (4)
- Machine Learning (4)
-
- Statistics (4)
- GARCH (3)
- Nigeria (3)
- ARIMA (2)
- Autocorrelation (2)
- Bayesian (2)
- Canonical correlation (2)
- Count time series (2)
- EM algorithm (2)
- Earthquakes (2)
- Econometrics (2)
- Economic Growth (2)
- Energy (2)
- Exchange rate (2)
- GIS (2)
- Longitudinal (2)
- Longitudinal data (2)
- Poisson (2)
- Poverty (2)
- Simulation (2)
- Stock market (2)
- Survival Analysis (2)
- Time series analysis (2)
- Twin modeling (2)
- Variable selection (2)
- Publication Year
- Publication
-
- CBN Journal of Applied Statistics (JAS) (21)
- Electronic Theses and Dissertations (7)
- Mathematics & Statistics Theses & Dissertations (6)
- Theses and Dissertations (6)
- Electronic Theses & Dissertations (2024 - present) (4)
-
- Master's Theses (4)
- All Dissertations (3)
- SMU Data Science Review (3)
- Statistics (3)
- Theses and Dissertations--Epidemiology and Biostatistics (3)
- Williams Honors College, Honors Research Projects (3)
- CMC Senior Theses (2)
- Computational and Data Sciences (PhD) Dissertations (2)
- Department of Statistics: Dissertations, Theses, and Student Research (2)
- Dissertations, Theses, and Capstone Projects (2)
- Graduate Theses and Dissertations (2)
- Mathematics & Statistics ETDs (2)
- Publications and Research (2)
- Statistical Science Theses and Dissertations (2)
- Theses and Dissertations (Comprehensive) (2)
- All Master's Theses (1)
- All Theses (1)
- Biology ETDs (1)
- CGU Theses & Dissertations (1)
- Campus Research Month (1)
- College of Graduate Studies: Theses & Dissertations (1)
- College of Science & Mathematics Departmental Research (1)
- Computer Science Summer Fellows (1)
- Conference Papers (1)
- Department of Mathematics Publications (1)
- Publication Type
- File Type
Articles 121 - 122 of 122
Full-Text Articles in Applied Statistics
Building A Model Of Campus Diversity: An Organization-As-The-Individual Based Approach, Ian Spencer Ray
Building A Model Of Campus Diversity: An Organization-As-The-Individual Based Approach, Ian Spencer Ray
Electronic Theses and Dissertations
Diversity is a vital concept when engaging with modern social science research and among higher education practitioners. Despite the pervasive discourse surrounding diversity, equity, and inclusion (DEI) initiatives, quantification of diversity remains a challenge across the social sciences. This study proposes a new conceptual framework, applies the framework to the quantification of diversity and measurement of its impacts. Further, this study demonstrates the robustness of the new conceptual framework alongside the positive impacts of diversity on institutional outcomes.
The Organization-As-The-Individual (OATI) framework arises from an integration of the social and biological sciences. The framework argues that humans, as biological organisms, …
Level Adjusted Exponential Smoothing: A Method For Judgmentally Adjusting Exponential Smoothing Models For Planned Discontinuities, Dan Williams, Don Miller
Level Adjusted Exponential Smoothing: A Method For Judgmentally Adjusting Exponential Smoothing Models For Planned Discontinuities, Dan Williams, Don Miller
Publications and Research
Forecasters often make judgmental adjustments to exponential smoothing forecasts to account for the effects of a future planned change. While this approach may produce sound initial forecasts, it can result in diminished accuracy for forecast updates. A proposed technique lets the forecaster include policy change adjustments within an exponential smoothing model. For 20 real data series representing Virginia Medicaid expenses, initial forecasts and forecast updates are developed using the proposed technique and several alternatives, and they are updated through various simulated level shifts. The proposed technique was more accurate than the alternatives in updating forecasts when a shift in level …