Event Title
A Comparison of EWMA Chart Statistics for Michigan Geospatial Data
Presentation Type
Oral and/or Visual Presentation
Presenter Major(s)
Biostatistics
Mentor Information
Paul Stephenson
Department
Statistics
Location
Kirkhof Center 2216
Start Date
11-4-2012 12:00 PM
Keywords
Information, Innovation, and Technology, Health, Mathematical Science
Abstract
Geographic Information Systems (GIS) are often used to accumulate and present data. Visualization of GIS data through maps is useful in displaying emerging patterns, but they can be misleading. In addition to visualization tools, one needs appropriate statistical methods to determine whether the observed data from a series of maps (constructed over a period of time) indicate that a systematic trend is developing. One statistical tool often used is the Moran's I statistic, which measures spatial autocorrelation. The author will examine the use of Exponentially Weighted Moving Average Charts in monitoring the Moran's I statistic for Michigan geo-spatial data. The focus of the presentation will be the comparison of the Average Run Length (ARL) and Average Time to Signal (ATS) as measures of how quickly a shift in spatial dispersion can be detected.
A Comparison of EWMA Chart Statistics for Michigan Geospatial Data
Kirkhof Center 2216
Geographic Information Systems (GIS) are often used to accumulate and present data. Visualization of GIS data through maps is useful in displaying emerging patterns, but they can be misleading. In addition to visualization tools, one needs appropriate statistical methods to determine whether the observed data from a series of maps (constructed over a period of time) indicate that a systematic trend is developing. One statistical tool often used is the Moran's I statistic, which measures spatial autocorrelation. The author will examine the use of Exponentially Weighted Moving Average Charts in monitoring the Moran's I statistic for Michigan geo-spatial data. The focus of the presentation will be the comparison of the Average Run Length (ARL) and Average Time to Signal (ATS) as measures of how quickly a shift in spatial dispersion can be detected.