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International Journal of Forecasting 25 (2009) 498 517 www.elsevier.com/locate/ijforecast Expectation-based scan statistics for monitoring spatial time series data Daniel B. Neill H.J. Heinz III College,

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What is expectation-based scan statistics for?

Expectation-based scan statistics is used to identify spatial clusters of events that deviate significantly from a null expectation. It is commonly used in epidemiology and public health to detect disease outbreaks or clusters.

Who is required to file expectation-based scan statistics for?

Expectation-based scan statistics can be performed by researchers, statisticians, or public health officials who are investigating disease patterns and outbreaks. However, it is not a requirement to file the statistics. It is a tool used for analysis and decision-making.

How to fill out expectation-based scan statistics for?

To fill out expectation-based scan statistics, you would typically need to collect data on the events of interest, choose an appropriate statistical method, and perform the analysis using specialized software or programming languages like R or Python.

What is the purpose of expectation-based scan statistics for?

The purpose of expectation-based scan statistics is to identify areas or populations that are experiencing a higher or lower incidence of an event compared to what would be expected based on overall rates or patterns. This can help identify clusters, hotspots, or areas with potential disease outbreaks for further investigation or intervention.

What information must be reported on expectation-based scan statistics for?

The specific information that needs to be reported on expectation-based scan statistics will depend on the analysis being performed and the data being used. Generally, it would include details about the events being studied, the geographical units or areas being analyzed, the statistical method used, and the results of the analysis including any identified clusters or hotspots.

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