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Information Complexity Based Modeling in the Presence of Length-Biased Sampling

Article

Abstract

We utilize an Information Complexity Measure (ICOMP) based modeling approach to determine possible contamination due to length-biased sampling. The ICOMP approach considers both the lack of fit (goodness of fit) and the inherent information complexity of each of the distributions with respect to the real distribution of the data.

AMS Subject Classification

62B10 62F10 

Keywords

Mixture Models Inverse Gaussian Sampling distribution 

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Copyright information

© Grace Scientific Publishing 2010

Authors and Affiliations

  1. 1.Department of MathematicsIllinois State UniversityIllinoisUSA

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