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A New Regression Model for Over-Dispersed Count Responses Based on Poisson and Geometric Convolution
This article presents an alternative generalized linear regression model specifically designed for count responses that exhibit over-dispersion. The...
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Family of Generalized Symmetric Distributions: Properties and Applications
Generalized distributions are useful for applied statisticians, and some of the popular distributions can be extended in several ways. In this study,...
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Inference on Weibull inverted exponential distribution under progressive first-failure censoring with constant-stress partially accelerated life test
Accelerated life tests (ALTs) play a pivotal role in life testing experiments as they significantly reduce costs and testing time. Hence, this paper...
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Analyzing Left-Truncated Samples with the Cox Model in the Presence of Missing Covariates
Delayed enrollment of subjects into a time-to-event study may result in a sample with biased outcome and covariate distributions. Additionally,...
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A Note on the Distribution of the Extreme Degrees of a Random Graph via the Stein-Chen Method
We offer an alternative proof, using the Stein-Chen method, of Bollobás’ theorem concerning the distribution of the extreme degrees of a random...
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A Comparison of Bayesian Approximation Methods for Analyzing Large Spatial Skewed Data
Commonly, environmental processes are observed across different locations, and observations present skewed distributions. Recent proposals for...
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Artwork pricing model integrating the popularity and ability of artists
Considerable research has been devoted to understanding the popularity effect on the art market dynamics, meaning that artworks by popular artists...
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Multiple testing of interval composite null hypotheses using randomized p-values
Equivalence tests are statistical hypothesis testing procedures that aim to establish practical equivalence rather than the usual statistical...
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Optimizing Robust Shape Parameter: Improved Methodologies for Birnbaum–Saunders Distribution
This study strives to improve the estimation of robust estimator when dealing with a univariate Birnbaum–Saunders distribution’s shape parameter...
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Mean test for high-dimensional data based on covariance matrix with linear structures
In this work, the mean test is considered under the condition that the number of dimensions p is much larger than the sample size n when the...
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Mediation Analysis using Semi-parametric Shape-Restricted Regression with Applications
Often linear regression is used to estimate mediation effects. In many instances the underlying relationships may not be linear. Although, the exact...
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A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together
Compositional data have peculiar characteristics that pose significant challenges to traditional statistical methods and models. Within this...
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Change Point Detection in Length-Biased Weibull Distribution for Random Censored Data Based on Modified Information Criterion
In this article, we study the change point problem of length-biased Weibull distribution under the scenario of random censorship. We construct the...
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Hierarchical Bayesian Integrated Modeling of Age- and Sex-Structured Wildlife Population Dynamics
Biodiversity of large wild mammals is declining at alarming rates worldwide. It is therefore imperative to develop effective population conservation...
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Specifications tests for count time series models with covariates
We propose a goodness-of-fit test for a class of count time series models with covariates which includes the Poisson autoregressive model with...
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Automatic Topic Title Assignment with Word Embedding
In this paper, we propose TAWE (title assignment with word embedding), a new method to automatically assign titles to topics inferred from sets of...
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On the statistical analysis of high-dimensional factor models
High-dimensional factor models have received much attention with the rapid development in big data. We make several contributions to the asymptotic...
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Dynamic factor models for claim reserving
This study presents a new approach to claim reserving in the insurance industry using dynamic factor models (DFMs). Traditional methods often...
