Results 11 to 20 of about 775,483 (328)
DUS-neutrosophic multivariate inverse Weibull distribution: properties and applications
Complex & Intelligent Systems, 2023 The existing DUS-multivariate inverse Weibull distribution under classical statistics can be applied when all observations in the data are imprecise. In this paper, we introduce DUS-neutrosophic multivariate inverse Weibull distribution that can be used ...
Marwa K. H. Hassan, Muhammad Aslam
doaj +1 more source
Two-Sample Tests Based on Data Depth
Entropy, 2023 In this paper, we focus on the homogeneity test that evaluates whether two multivariate samples come from the same distribution. This problem arises naturally in various applications, and there are many methods available in the literature.
Xiaoping Shi, Yue Zhang, Yuejiao Fu
doaj +1 more source
Stochastic orders for a multivariate Pareto distribution
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021 In this article we give some theoretical results for equivalence between different stochastic orders of some kind multivariate Pareto distribution family.
Catana Luigi-Ionut
doaj +1 more source
Multivariate generalizations of the Foata-Schützenberger equidistribution [PDF]
Discrete Mathematics & Theoretical Computer Science, 2006 A result of Foata and Schützenberger states that two statistics on permutations, the number of inversions and the inverse major index, have the same distribution on a descent class.
Florent Hivert +2 more
doaj +1 more source
A Multivariate Extension of McNemar’s Test Based on Permutations
Acta Universitatis Lodziensis. Folia Oeconomica, 2020 The purpose of this publication is to propose a permutation test to detect the departure from symmetry in multidimensional contingency tables. The proposal is a multivariate extension of McNemar’s test.
Grzegorz Kończak
doaj +1 more source
Multivariate Classes of GB2 Distributions with Applications
Mathematics, 2020 The general beta of the second kind distribution (GB2) is a flexible distribution which includes several relevant parametric families of distributions.
José María Sarabia +3 more
doaj +1 more source
The Astrophysical Journal, 2023 It is well known that the power spectrum is not able to fully characterize the statistical properties of non-Gaussian density fields. Recently, many different statistics have been proposed to extract information from non-Gaussian cosmological fields that
Core Francisco Park +3 more
doaj +1 more source
Deconvolution with unknown noise distribution is possible for multivariate signals [PDF]
Annals of Statistics, 2020 This paper considers the deconvolution problem in the case where the target signal is multidimensional and no information is known about the noise distribution.
E. Gassiat, S. L. Corff, Luc Leh'ericy
semanticscholar +1 more source
Nonparametric sequential change-point detection for multivariate time series based on empirical distribution functions [PDF]
Electronic Journal of Statistics, 2020 The aim of sequential change-point detection is to issue an alarm when it is thought that certain probabilistic properties of the monitored observations have changed.
I. Kojadinovic, Ghislain Verdier
semanticscholar +1 more source
Truly Multivariate Structured Additive Distributional Regression [PDF]
Journal of Computational And Graphical Statistics, 2023 Generalized additive models for location, scale and shape (GAMLSS) are a popular extension to mean regression models where each parameter of an arbitrary parametric distribution is modeled through covariates.
Lucas Kock, N. Klein
semanticscholar +1 more source