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  1. In this paper we consider a generalization of a log-transformed version of the inverse Weibull distribution. Several theoretical properties of the distribution are studied in detail including expressions for i...

    Authors: C. Satheesh Kumar and Subha R. Nair
    Citation: Journal of Statistical Distributions and Applications 2021 8:14
  2. Mixture of experts (MoE) models are widely applied for conditional probability density estimation problems. We demonstrate the richness of the class of MoE models by proving denseness results in Lebesgue space...

    Authors: Hien Duy Nguyen, TrungTin Nguyen, Faicel Chamroukhi and Geoffrey John McLachlan
    Citation: Journal of Statistical Distributions and Applications 2021 8:13
  3. A family of generalised Planck (GP) laws is defined and its structural properties explored. Sometimes subject to parameter restrictions, a GP law is a randomly scaled gamma law; it arises as the equilibrium la...

    Authors: Anthony G. Pakes
    Citation: Journal of Statistical Distributions and Applications 2021 8:12
  4. A new generalized class of Lindley distribution is introduced in this paper. This new class is called the T-Lindley{Y} class of distributions, and it is generated by using the quantile functions of uniform, expon...

    Authors: Duha Hamed and Ahmad Alzaghal
    Citation: Journal of Statistical Distributions and Applications 2021 8:11
  5. A tolerance interval is a statistical interval that covers at least 100ρ% of the population of interest with a 100(1−α)% confidence, where ρ and α are pre-specified values in (0, 1). In many scientific fields, su...

    Authors: Kyung Serk Cho and Hon Keung Tony Ng
    Citation: Journal of Statistical Distributions and Applications 2021 8:10
  6. We propose a new stochastic model describing the joint distribution of (X,N), where N is a counting variable while X is the sum of N independent gamma random variables. We present the main properties of this gene...

    Authors: Charles K. Amponsah, Tomasz J. Kozubowski and Anna K. Panorska
    Citation: Journal of Statistical Distributions and Applications 2021 8:7
  7. We propose a flexible multivariate stochastic model for over-dispersed count data. Our methodology is built upon mixed Poisson random vectors (Y1,…,Yd), where the {Yi} are conditionally independent Poisson random...

    Authors: Alexander D. Knudson, Tomasz J. Kozubowski, Anna K. Panorska and A. Grant Schissler
    Citation: Journal of Statistical Distributions and Applications 2021 8:6
  8. Zero-inflated and hurdle models are widely applied to count data possessing excess zeros, where they can simultaneously model the process from how the zeros were generated and potentially help mitigate the eff...

    Authors: Yixuan Zou, Jan Hannig and Derek S. Young
    Citation: Journal of Statistical Distributions and Applications 2021 8:5
  9. We introduce two extensions of the canonical Feller–Spitzer distribution from the class of Bessel densities, which comprise two distinct stochastically decreasing one-parameter families of positive absolutely ...

    Authors: Vladimir Vladimirovich Vinogradov and Richard Bruce Paris
    Citation: Journal of Statistical Distributions and Applications 2021 8:3
  10. We study the joint distribution of stochastic events described by (X,Y,N), where N has a 1-inflated (or deflated) geometric distribution and X, Y are the sum and the maximum of N exponential random variables. Mod...

    Authors: Francesco Zuniga, Tomasz J. Kozubowski and Anna K. Panorska
    Citation: Journal of Statistical Distributions and Applications 2021 8:2
  11. Al-Osh and Alzaid (1988) consider a Poisson moving average (PMA) model to describe the relation among integer-valued time series data; this model, however, is constrained by the underlying equi-dispersion assumpt...

    Authors: Kimberly F. Sellers, Ali Arab, Sean Melville and Fanyu Cui
    Citation: Journal of Statistical Distributions and Applications 2021 8:1
  12. To investigate the relationship between flood gage height and precipitation in South Carolina from 2012 to 2016, we built a conditional autoregressive (CAR) model using a Bayesian hierarchical framework. This ...

    Authors: Haigang Liu, David B. Hitchcock and S. Zahra Samadi
    Citation: Journal of Statistical Distributions and Applications 2020 7:11
  13. We develop a cluster process which is invariant with respect to unknown affine transformations of the feature space without knowing the number of clusters in advance. Specifically, our proposed method can iden...

    Authors: Hsin-Hsiung Huang and Jie Yang
    Citation: Journal of Statistical Distributions and Applications 2020 7:10
  14. This paper introduces a new family of bivariate copulas constructed using a unit Weibull distortion. Existing copulas play the role of the base or initial copulas that are transformed or distorted into a new f...

    Authors: Fadal A.A. Aldhufairi and Jungsywan H. Sepanski
    Citation: Journal of Statistical Distributions and Applications 2020 7:8
  15. A new generalized asymmetric logistic distribution is defined. In some cases, existing three parameter distributions provide poor fit to heavy tailed data sets. The proposed new distribution consists of only t...

    Authors: Mohammad A. Aljarrah, Felix Famoye and Carl Lee
    Citation: Journal of Statistical Distributions and Applications 2020 7:7
  16. Today, data mining and gene expressions are at the forefront of modern data analysis. Here we introduce a novel probability distribution that is applicable in these fields. This paper develops the proposed sph...

    Authors: Jose H. Guardiola
    Citation: Journal of Statistical Distributions and Applications 2020 7:6
  17. At this juncture when mixed models are heavily employed in applications ranging from clinical research to business analytics, the purpose of this article is to extend the exact distributional result of Wald (A...

    Authors: Samaradasa Weerahandi and Ching-Ray Yu
    Citation: Journal of Statistical Distributions and Applications 2020 7:4
  18. We introduce a new distribution with support on (0,1) called unifed. It can be used as the response distribution for a GLM and it is suitable for data aggregation. We make a comparison to the beta regression. ...

    Authors: Oscar Alberto Quijano Xacur
    Citation: Journal of Statistical Distributions and Applications 2019 6:13
  19. In this paper, a flexible family of distributions with unimodel, bimodal, increasing, increasing and decreasing, inverted bathtub and modified bathtub hazard rate called Burr III-Marshal Olkin-G (BIIIMO-G) fam...

    Authors: Fiaz Ahmad Bhatti, G. G. Hamedani, Mustafa C. Korkmaz, Gauss M. Cordeiro, Haitham M. Yousof and Munir Ahmad
    Citation: Journal of Statistical Distributions and Applications 2019 6:12
  20. Motivated by an engineering pullout test applied to a steel strip embedded in earth, we show how the resulting linearly decreasing force leads naturally to a new distribution, if the force under constant stress i...

    Authors: Roger W. Barnard, Chamila Perera, James G. Surles and A. Alexandre Trindade
    Citation: Journal of Statistical Distributions and Applications 2019 6:11
  21. We present a novel Bayesian approach to random effects meta analysis of binary data with excessive zeros in two-arm trials. We discuss the development of likelihood accounting for excessive zeros, the prior, a...

    Authors: Saman Muthukumarana, David Martell and Ram Tiwari
    Citation: Journal of Statistical Distributions and Applications 2019 6:10
  22. The class of (p1,…,pk)-spherical probability laws and a method of simulating random vectors following such distributions are introduced using a new stochastic vector representation. A dynamic geometric disintegra...

    Authors: Wolf-Dieter Richter
    Citation: Journal of Statistical Distributions and Applications 2019 6:9
  23. Various applications in natural science require models more accurate than well-known distributions. In this context, several generators of distributions have been recently proposed. We introduce a new four-par...

    Authors: Maria C.S. Lima, Gauss M. Cordeiro, Edwin M.M. Ortega and Abraão D.C. Nascimento
    Citation: Journal of Statistical Distributions and Applications 2019 6:7
  24. Technological advances associated with data acquisition are leading to the production of complex structured data sets. The recent development on classification with multiclass responses makes it possible to in...

    Authors: Li-Pang Chen, Grace Y. Yi, Qihuang Zhang and Wenqing He
    Citation: Journal of Statistical Distributions and Applications 2019 6:6
  25. Stochastic representations of star-shaped distributed random vectors having heavy or light tail density generating function g are studied for increasing dimensions along with corresponding geometric measure repre...

    Authors: Wolf-Dieter Richter
    Citation: Journal of Statistical Distributions and Applications 2019 6:5
  26. The eigenvalue distributions from a complex noncentral Wishart matrix S=XHX has been the subject of interest in various real world applications, where X is assumed to be complex matrix variate normally distribute...

    Authors: Johannes T. Ferreira and Andriëtte Bekker
    Citation: Journal of Statistical Distributions and Applications 2019 6:4
  27. A multivariate symmetric Bernoulli distribution has marginals that are uniform over the pair {0,1}. Consider the problem of sampling from this distribution given a prescribed correlation between each pair of v...

    Authors: Mark Huber and Nevena Marić
    Citation: Journal of Statistical Distributions and Applications 2019 6:2
  28. We introduce rank-k-continuous axis-aligned p-generalized elliptically contoured distributions and study their properties such as stochastic representations, moments, and density-like representations. Applying th...

    Authors: Klaus Müller and Wolf-Dieter Richter
    Citation: Journal of Statistical Distributions and Applications 2019 6:1
  29. The objective of this study was to test statistical features from the electroencephalogram (EEG) recordings as predictors of neurodevelopment and cognition of Ugandan children after coma due to cerebral malari...

    Authors: Maria A. Veretennikova, Alla Sikorskii and Michael J. Boivin
    Citation: Journal of Statistical Distributions and Applications 2018 5:8
  30. In this paper, a new extension of the generalized half-normal distribution is introduced and studied. We assess the performance of the maximum likelihood estimators of the parameters of the new distribution vi...

    Authors: Emrah Altun, Haitham M. Yousof and G.G. Hamedani
    Citation: Journal of Statistical Distributions and Applications 2018 5:7
  31. The family of Generalized Gaussian (GG) distributions has received considerable attention from the engineering community, due to the flexible parametric form of its probability density function, in modeling ma...

    Authors: Alex Dytso, Ronit Bustin, H. Vincent Poor and Shlomo Shamai
    Citation: Journal of Statistical Distributions and Applications 2018 5:6
  32. We propose a new family of univariate distributions generated from the Weibull random variable, called a new Weibull-X family of distributions. Two special sub-models of the proposed family are presented and t...

    Authors: Zubair Ahmad, M. Elgarhy and G. G. Hamedani
    Citation: Journal of Statistical Distributions and Applications 2018 5:5
  33. We propose a five parameter transmuted geometric quadratic hazard rate (TG-QHR) distribution derived from mixture of quadratic hazard rate (QHR), geometric and transmuted distributions via the application of t...

    Authors: Fiaz Ahmad Bhatti, G. G. Hamedani, Mustafa Ç. Korkmaz and Munir Ahmad
    Citation: Journal of Statistical Distributions and Applications 2018 5:4
  34. Quantile regression estimates conditional quantiles and has wide applications in the real world. Estimating high conditional quantiles is an important problem. The regular quantile regression (QR) method often...

    Authors: Mei Ling Huang and Christine Nguyen
    Citation: Journal of Statistical Distributions and Applications 2018 5:3
  35. Ratio distribution is a probability distribution representing the ratio of two random variables, each usually having a known distribution. Currently, there are results when the random variables in the ratio fo...

    Authors: Frantisek Duris, Juraj Gazdarica, Iveta Gazdaricova, Lucia Strieskova, Jaroslav Budis, Jan Turna and Tomas Szemes
    Citation: Journal of Statistical Distributions and Applications 2018 5:2
  36. We propose and study a new compounded model to extend the half-Cauchy and power-Cauchy distributions, which offers more flexibility in modeling lifetime data. The proposed model is analytically tractable and c...

    Authors: Muhammad Zubair, Muhammad H. Tahir, Gauss M. Cordeiro, Ayman Alzaatreh and Edwin M. M. Ortega
    Citation: Journal of Statistical Distributions and Applications 2018 5:1
  37. In this paper, the class of T-R {generalized lambda} families of distributions based on the quantile of generalized lambda distribution has been proposed using the T-R{Y} framework. In the development of the T-R{

    Authors: Mahmoud Aldeni, Carl Lee and Felix Famoye
    Citation: Journal of Statistical Distributions and Applications 2017 4:25
  38. Risk ratios are distribution function tail ratios and are widely used in health disparities research. Let A and D denote advantaged and disadvantaged populations with cdfs F ...

    Authors: Hoben Thomas and Thomas P. Hettmansperger
    Citation: Journal of Statistical Distributions and Applications 2017 4:27
  39. We consider a sequence of n, n≥3, zero (0) - one (1) Markov-dependent trials. We focus on k-tuples of 1s; i.e. runs of 1s of length at least equal to a fixed integer number k, 1≤kn. The statistics denoting the n...

    Authors: Anastasios N. Arapis, Frosso S. Makri and Zaharias M. Psillakis
    Citation: Journal of Statistical Distributions and Applications 2017 4:26
  40. The generalized gamma (GG) distribution is a widely used, flexible tool for parametric survival analysis. Many alternatives and extensions to this family have been proposed. This paper characterizes the flexib...

    Authors: Matthew Matheson, Alvaro Muñoz and Christopher Cox
    Citation: Journal of Statistical Distributions and Applications 2017 4:15