Stand mortality models play an important role in simulating stand dynamic processes.
Periodic stand mortality data from permanent plots tend to be dispersed, and frequently …

Count data analysis techniques have been developed in biological and medical research
areas. In particular, zero-inflated versions of parametric count distributions have been used …

In practice, count data may exhibit varying dispersion patterns and excessive zero values;
additionally, they may appear in groups or clusters sharing a common source of variation …

In this study, we deal with the problem of overdispersion beyond extra zeros for a collection
of counts that can be correlated. Poisson, negative binomial, zero-inflated Poisson and zero …

Mastitis in cows can be defined as a binary trait, reflecting presence or absence of clinical
mastitis (CM), or as a count variable, number of mastitis cases (NCM), within a defined time …

This paper focuses on students credits earning speed over time and its determinants,
dealing with the huge percentage of students who do not take the degree within the legal …

Four models for in vitro embryo production traits in Guzerá cattle were compared: Gaussian
(untransformed variable–LIN and transformed in logarithmic scale–LOG), Poisson (POI) and …

The mortality of trees across diameter class model is a useful tool for predicting changes in
stand structure. Mortality data commonly contain a large fraction of zeros and general …

Excess zeros issues are very common in count data. Furthermore, when different type of
zero sources are suspected in the data, zero-inflated models, such as zero-inflated Poisson …

This dissertation is directed toward developing a statistical methodology with applications of
the Conway-Maxwell-Poisson (CMP) distribution (Conway, RW, and Maxwell, WL, 1962) to …