Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Data mining (2)
- Machine learning (2)
- References (2)
- Statistics (2)
- Census (1)
-
- Collections (1)
- Econometrics (1)
- Econometrics in higher education (1)
- FARS (1)
- GIS (1)
- Growth (1)
- HELIN (1)
- Homeless (1)
- Kentucky traffic fatalities (1)
- Presentations (1)
- Public policy (1)
- Retention (1)
- Seminars and Applied Research (1)
- Statistical modeling (1)
- Traffic safety (1)
- Urban planning (1)
- Urban transportation (1)
- Publication
- File Type
Articles 1 - 5 of 5
Full-Text Articles in Applied Statistics
Spatial Analysis Of Fatal Automobile Crashes In Kentucky, William Nathan Oris
Spatial Analysis Of Fatal Automobile Crashes In Kentucky, William Nathan Oris
Masters Theses & Specialist Projects
Fatal automobile crashes have claimed the lives of over 33,000 people each year in the United States since 1995. As in any point event, fatal crash events do not occur randomly in time or space. The objectives of this study were to identify spatial patterns and hot spots in FARS (Fatal Analysis Reporting System) fatal crash events based on temporal and demographic characteristics. The methods employed included 1) rate calculation using FARS points and average daily traffic flow; 2) planar kernel density estimation of FARS crash events based on temporal and demographic attributes within the data; and 3) two case …
Helin Institutions' Collection Statistics From Fy 10 To Fy 11, Martha Rice Sanders
Helin Institutions' Collection Statistics From Fy 10 To Fy 11, Martha Rice Sanders
HELIN Collection Statistics
Statistical information about the total number of item and holdings (serials) records held by each HELIN member institution as of June 30, 2010, and June 30, 2011. Gives the percentage of growth for each institution. Additionally, a chart and statistics for the number of item records held by each HELIN member institution as of June 30, 2011. A Chart of e-book collection totals and the libraries to which they belong. Finally, a chart of serials holdings for both paper (plus microform, etc.) and electronic journals, including the CRIARL libraries.
Empirical Methods For Predicting Student Retention- A Summary From The Literature, Matt Bogard
Empirical Methods For Predicting Student Retention- A Summary From The Literature, Matt Bogard
Economics Faculty Publications
The vast majority of the literature related to the empirical estimation of retention models includes a discussion of the theoretical retention framework established by Bean, Braxton, Tinto, Pascarella, Terenzini and others (see Bean, 1980; Bean, 2000; Braxton, 2000; Braxton et al, 2004; Chapman and Pascarella, 1983; Pascarell and Ternzini, 1978; St. John and Cabrera, 2000; Tinto, 1975) This body of research provides a starting point for the consideration of which explanatory variables to include in any model specification, as well as identifying possible data sources. The literature separates itself into two major camps including research related to the hypothesis testing …
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.
Counting The Impossible: Sampling And Modeling To Achieve A Large State Homeless Count, Jennifer L. Priestley, Jane Massey
Counting The Impossible: Sampling And Modeling To Achieve A Large State Homeless Count, Jennifer L. Priestley, Jane Massey
Faculty Articles
Objective: Using inferential statistics, we develop estimates of the homeless population of a geographically large and economically diverse state -- Georgia.
Methods: Multiple independent data sources (2000 U.S. Census, the 2006 Georgia County Guide, Georgia Chamber of Commerce) were used to develop Clusters of the 150 Georgia Counties. These clusters were used as "strata" to then execute traified sampling. Homeless counts were conducted within the sample counties, allowing for multiple regression models to be developed to generate predictions of homeless persons by county.
Results: In response to a mandate from the US Department of Housing and Urban Development, the State …