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HR and RHR orderings of generalized order statistics
In this article, we compare generalized order statistics in terms of increasing convex, mean residual life, hazard rate and reversed hazard rate...
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Fully Modified GEE Modeling of Correlated Univariate Outcomes
GEE modeling can be fully modified to account for the dependence of the likelihood on mean parameters as well as on dispersion parameters rather than...
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Run and Scan Rules in Statistical Process Monitoring
In this paper, we provide an overview of the use of run and scan rules in statistical process monitoring. Although we focus on control charts,...
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Univariate and Bivariate Compound Models Based on Random Sum of Variates with Application to the Insurance Losses Data
In this article, we propose a new three-parameter model called compound zero-truncated Poisson gamma model. The corresponding variate of this model...
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Convergence and inference for mixed Poisson random sums
We study the limit distribution of partial sums with a random number of terms following a class of mixed Poisson distributions. The resulting weak...
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On degradation-based imperfect repair and induced generalized renewal processes
In this paper, we suggest and justify a new, basic approach to modelling the imperfect repair and the corresponding imperfect repair processes for...
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Population Size Estimation Using Zero-Truncated Poisson Regression with Measurement Error
Population size estimation is an important research field in biological sciences. In practice, covariates are often measured upon capture on...
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Spatial Generalized Linear Models with Non-Gaussian Translation Processes
It is not generally feasible to pick any given marginal distribution and assume there will be a way to apply a link function to add fixed and random...
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An evolutionary estimation procedure for generalized semilinear regression trees
In many applications, the presence of interactions or even mild non-linearities can affect inference and predictions. For that reason, we suggest the...
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Zero-Truncated Poisson Exponentiated Gamma Distribution: Application and Estimation Methods
We define a new two-parameter lifetime model called the zero-truncated Poisson exponentiated gamma distribution. The hazard function of the new...
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Generalized Single Index Models and Jensen Effects on Reproduction and Survival
Environmental variability often has substantial impacts on natural populations and communities through its effects on the performance of individuals....
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Tweedie Distributions for Biological Sequences Alignments
An important technique in the study of the similarity between biological sequences is the analysis of their alignments score distribution. The...
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An Overview of ARMA-Like Models for Count and Binary Data
A comprehensive overview of the literature on models for discrete valued time series is provided, with a special focus on count and binary data....
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A simple algorithm for computing the probabilities of count models based on pure birth processes
Recently, non-monotonic rate sequences of pure birth processes have been the focus of much attention in the analysis of count data due to their...
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Discrete Regression
Discrete regression of outcomes with a discrete number of possible numeric values is addressed, as an alternative to multinomial and ordinal...
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On Some Smooth Estimators of the Quantile Function for a Stationary Associated Process
Let { X n , n ≥ 1} be a sequence of stationary non-negative associated random variables with common marginal distribution function F ( x ) and quantile...
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Bayesian Inferences for Panel Count Data and Interval-Censored Data with Nonparametric Modeling of the Baseline Functions
Both panel count data and interval-censored data arise commonly in real-life studies when subjects are examined at periodic follow-ups....
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Generalized Linear Models
Linear models are well suited for regression analyses when the response variable is continuous and at least approximately normal. In some cases, an...
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Minimum contrast for the first-order intensity estimation of spatial and spatio-temporal point processes
In this paper, we harness a result in point process theory, specifically the expectation of the weighted K -function, where the weighting is done by...
