Forecasting Randomly Distributed Zero-Inflated Time Series
نویسندگان
چکیده
منابع مشابه
Modelling and coherent forecasting of zero-inflated time series count data
In this article, a new kind of stationary zero-inflated Pegram’s operator based integer-valued time series process of order p with Poisson marginal or ZIPPAR(p) is constructed for modelling a count time series consisting a large number of zeros compared to standard Poisson time series processes. Estimates of the model parameters are studied using three methods, namely Yule-Walker, conditional l...
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Zero-inflated data indicates that the data set contains an excessive number of zeros. The word zero-inflation is used to emphasize that the probability mass at the point zero exceeds than the one allowed under a standard parametric family of discrete distributions. Gupta et al. [1], Murat & Szynal [2], Patil & Shirke [3] have contributed to estimation and testing of the parameters involved in Z...
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ژورنال
عنوان ژورنال: Folia Oeconomica Stetinensia
سال: 2017
ISSN: 1898-0198
DOI: 10.1515/foli-2017-0001