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State-Space Models for Binomial Time Series with Excess Zeros
[chapter]
2018
Time Series Analysis and Applications
Count time series with excess zeros are frequently encountered in practice. In characterizing a time series of counts with excess zeros, two types of models are commonplace: models that assume a Poisson mixture distribution, and models that assume a binomial mixture distribution. Extensive work has been published dealing with modeling frameworks based on Poisson-type approaches, yet little has concentrated on binomial-type methods. To handle such data, we propose two general classes of time
doi:10.5772/intechopen.71336
fatcat:oyndhei5obh3dlfh65m4lhn3ke