# 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} }

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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