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Statistical Distributions in the Era of Big Data

  1. 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

    Content type: Research

    Published on:

  2. 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

    Content type: Research

    Published on:

  3. 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

    Content type: Methodology

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  5. 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

    Content type: Research

    Published on:

  6. 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

    Content type: Short report

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  7. 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

    Content type: Research

    Published on:

  9. 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

    Content type: Research

    Published on:

  10. 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

    Content type: Research

    Published on: