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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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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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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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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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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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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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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...
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Normalised Clustering Accuracy: An Asymmetric External Cluster Validity Measure
There is no, nor will there ever be, single best clustering algorithm. Nevertheless, we would still like to be able to distinguish between methods...
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Use of Additional Information for Current Status Data with Two Competing Risks and Missing Failure Types
In practice, the failure type for some subjects may be missing or uncertain in competing risks data. Analysis of such uncertain failure type in...
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Marginal analysis of count time series in the presence of missing observations
Time series in real-world applications often have missing observations, making typical analytical methods unsuitable. One method for dealing with...
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Sensitivity and Specificity versus Precision and Recall, and Related Dilemmas
Many evaluations of binary classifiers begin by adopting a pair of indicators, most often sensitivity and specificity or precision and recall....
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The Extended Anderson and Hauck Tests and Sample Size Procedures for Equivalence Assessment in Simple Linear Regressions
This study describes extended Anderson and Hauck procedures for equivalence testing of slope coefficients and mean responses in one and two...
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Multiple imputation with competing risk outcomes
In time-to-event analyses, a competing risk is an event whose occurrence precludes the occurrence of the event of interest. Settings with competing...
