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Abstract Details
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Activity Number:
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253
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #301298 |
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Title:
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Resampling in Generalized Linear Models
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Author(s):
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Maher Qumsiyeh*+
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Companies:
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University of Dayton
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Address:
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Department of Mathematics, Dayton, OH, 45469-2316,
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Keywords:
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Experimental Design ;
Discrete Responses ;
Transformations ;
Generalized Linear Model
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Abstract:
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Frequently in experimental situations observations that are not normally distributed occur. A common situation is when the responses are discrete in nature such as counts. One way to analyze such experiments is to use a transformation for the responses. Another is to use a link function based on a generalized linear model approach. In this paper, we will use re-sampling as an alternative method to analyze such data. We will compare our results with those provided by the previous two methods.
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