Hurdle strict arcsine model

Ngor, Phang Yook; Fu, Loh Er

doi:10.1109/shuser.2012.6268820

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2016

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“… Ngor and Fu [35] described that the hurdle model was a finite mixture model where the zeroes were generated by a particular distribution while the positive counts were generated by another (truncated) distribution. The discrete distributions commonly considered for hurdle models were the Poisson and NB distributions.…”

Section: Related Workmentioning

confidence: 99%

Zero‐inflated prediction model in software‐fault data

2016

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Software fault data with many zeroes in addition to large non-zero values are common in the software estimation area. A two-component prediction approach that provides a robust way to predict this type of data is introduced in this study. This approach allows to combine parametric and non-parametric models to improve the prediction accuracy. This way provides a more flexible structure to understand data. To show the usefulness of the proposed approach, experiments using eight projects from the NASA repository are considered. In addition, this method is compared with methods from the machine learning and statistical literature. The performance of the methods is measured by the prediction accuracy that is assessed based on the mean magnitude of relative errors.

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Section: Related Workmentioning

confidence: 99%