Researchers in many fields including biomedical often make statistical inferences involving
the analysis of count data that exhibit a substantially large proportion of zeros. Subjects in …

In this paper we first define the class of Generalized Inflated Power Series Distributions
(GIPSDs) which contain the inflated discrete distributions most often seen in practice as …

Health and safety studies that entail both incidence and magnitude of effects produce semi-
continuous outcomes, in which the response is either zero or a continuous positive value …

The main object of this article is to present an extension of the zero-inflated Poisson-Lindley
distribution, called of zero-modified Poisson-Lindley. The additional parameter $\pi $ of the …

Asthma and obesity, which have reached epidemic proportions, impact urban youth to a
great extent. Findings are inconsistent regarding their relationship; no studies have …

Robust quality control is a prerequisite and an essential component in any data application.
That is especially important for time series of environmental observations such as air quality …

Suppose that one can observe bivariate random variables (L, X) only when L≤ X holds.
Such data are called left-truncated data and found in many fields, such as experimental …

This paper introduces and studies a new discrete distribution with one parameter that
expands the Poisson model, discrete weighted Poisson Lerch transcendental (DWPLT) …

The primary goal of this paper is to introduce the zero-modified Poisson–Lindley regression
model as an alternative to model overdispersed count data exhibiting inflation or deflation of …

Herbaceous plants account for more than three-fourths of the total biomass in savanna
ecosystems. However, which environmental factors mainly drive the biodiversity of …