A common feature of ecological data sets is their tendency to contain many zero values.
Statistical inference based on such data are likely to be inefficient or wrong unless careful …

Microbiome research and microbiome data analysis are one of the fast-growing areas in
biomedical and public health research. It is evidenced and catalyzed by publications in …

In recent years, venture capital firms have increasingly turned to foreign countries in search
of investment opportunities. The cross-border expansion of venture capital firms presents an …

This paper considers the issue of modeling fractional data observed on [0, 1),(0, 1] or [0, 1].
Mixed continuous-discrete distributions are proposed. The beta distribution is used to …

Five regression models (Poisson, negative binomial, quasi-Poisson, the hurdle model and
the zero-inflated Poisson) were used to assess the relationship between the abundance of a …

Metabolomics encompasses the study of small molecules in a biological sample. Liquid
Chromatography coupled with Mass Spectrometry (LC–MS) profiling is an important …

Analyzing behavioral patterns of workloads is critical to understanding Cloud computing
environments. However, until now only a limited number of real-world Cloud data center …

Count data with excessive zeros and/or over-dispersion are prevalent in a wide variety of
disciplines, such as public health, psychology, and environmental science. Different …

The application of formal Bayesian inferential approaches in hydrologic modeling is often
criticized for requiring explicit assumptions to be made about the distribution of the errors via …

Modelling masting habit, ie the spatial synchronized annual variability in fruit production, is a
huge task due to two main circumstances:(1) the identification of main ecological factors …