Bayesian inference and diagnostics in zero-inflated generalized power series regression model
نویسندگان
چکیده
منابع مشابه
Bayesian Inference for Zero-inflated Poisson Regression Models
Count data with excess zeros are common in social science research and can be considered as a special case of mixture structured data. We exploit the flexibility of the Bayesian analytic approach to model the mixture data structure inherent in zero-inflated count data by using the zero-inflated Poisson (ZIP) model. We discuss the importance of modelling excess-zero count data in social sciences...
متن کاملInference for Zero Inflated Truncated Power Series Family of Distributions
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...
متن کاملInference for Zero Inflated Truncated Power Series Family of Distributions
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...
متن کاملzoib: An R Package for Bayesian Inference for Beta Regression and Zero/One Inflated Beta Regression
Abstract The beta distribution is a versatile function that accommodates a broad range of probability distribution shapes. Beta regression based on the beta distribution can be used to model a response variable y that takes values in open unit interval (0, 1). Zero/one inflated beta (ZOIB) regression models can be applied when y takes values from closed unit interval [0, 1]. The ZOIB model is b...
متن کاملZero-inflated Poisson regression mixture model
Excess zeros and overdispersion are commonly encountered phenomena that limit the use of traditional Poisson regression models for modeling count data. The focus of this paper is on modeling count data in the case that a population has excess zero counts and also consists of several sub-populations in the non-zero counts. The proposed zero-inflated Poisson regression mixture model accounts for ...
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ژورنال
عنوان ژورنال: Communications in Statistics - Theory and Methods
سال: 2016
ISSN: 0361-0926,1532-415X
DOI: 10.1080/03610926.2014.919397