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Activity Number:
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483
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #302238 |
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Title:
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Folded Parametric Families
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Author(s):
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Malwane Ananda*+ and Kahadawala Cooray and Sumith Gunasekera
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Companies:
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University of Nevada, Las Vegas and University of Nevada, Las Vegas and University of Nevada, Las Vegas
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Address:
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Department of Mathematical Sciences, Las Vegas, NV, 89154,
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Keywords:
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Folded Distributions ; Cauchy Distribution ; Laplace Distribution
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Abstract:
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In some practical applications, measurements are recorded without their algebraic sign. As a consequence, the underlying distributions of measurements are replaced by distributions of absolute measurements, and the resulting distributions are known as folded distributions. In general, folded distributions are positively skewed and have non-zero density value. Therefore, these distributions are useful to analyze the data sets with zero data points. The folded normal and folded logistic distributions and their applications have already been discussed in detail in statistical literature. This paper is confined to discuss some properties of the folded Cauchy and folded Laplace distributions. Parameter estimation techniques are discussed and the advantages of using these distributions are demonstrated using well-known examples.
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- Authors who are presenting talks have a * after their name.
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