Zero-inflacted Poisson regression, with an application to defects in manufacturing

@article{Lambert1992ZeroinflactedPR,
  title={Zero-inflacted Poisson regression, with an application to defects in manufacturing},
  author={Diane Lambert},
  journal={Quality Engineering},
  year={1992},
  volume={37},
  pages={563-564}
}
  • D. Lambert
  • Published 1 February 1992
  • Mathematics
  • Quality Engineering
Zero-inflated Poisson (ZIP) regression is a model for count data with excess zeros. It assumes that with probability p the only possible observation is 0, and with probability 1 – p, a Poisson(λ) random variable is observed. For example, when manufacturing equipment is properly aligned, defects may be nearly impossible. But when it is misaligned, defects may occur according to a Poisson(λ) distribution. Both the probability p of the perfect, zero defect state and the mean number of defects λ in… 

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