Results 21 to 30 of about 706 (230)
Multivariate Scale-Mixed Stable Distributions and Related Limit Theorems
Mathematics, 2020 In the paper, multivariate probability distributions are considered that are representable as scale mixtures of multivariate stable distributions. Multivariate analogs of the Mittag–Leffler distribution are introduced.
Yury Khokhlov +2 more
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$0$-Hecke algebra action on the Stanley-Reisner ring of the Boolean algebra [PDF]
Discrete Mathematics & Theoretical Computer Science, 2014 We define an action of the $0$-Hecke algebra of type A on the Stanley-Reisner ring of the Boolean algebra. By studying this action we obtain a family of multivariate noncommutative symmetric functions, which specialize to the noncommutative Hall ...
Jia Huang
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Revstat Statistical Journal, 2013 In this work we derive the exact joint distribution of a linear combination of concomitants of order statistics and linear combinations of their order statistics in a multivariate normal distribution.
Ayyub Sheikhi , Mahbanoo Tata
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The PIT-trap-A "model-free" bootstrap procedure for inference about regression models with discrete, multivariate responses. [PDF]
PLoS ONE, 2017 Bootstrap methods are widely used in statistics, and bootstrapping of residuals can be especially useful in the regression context. However, difficulties are encountered extending residual resampling to regression settings where residuals are not ...
David I Warton +2 more
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Psych, 2021 Exploratory Graph Analysis (EGA) has emerged as a popular approach for estimating the dimensionality of multivariate data using psychometric networks.
Alexander P. Christensen, Hudson Golino
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Distribution of Eigenvalues in Multivariate Statistical Analysis
The Annals of Statistics, 1983 Ten invariant multivariate testing problems involving the real, complex, or quaternion structure of covariance matrices are considered. In each problem the maximal invariant statistic and its distribution are described, as well as the maximum likelihood estimators and likelihood ratio test statistics.
Andersson, Steen A. +2 more
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Multi-Scale Process Monitoring Based on Time-Frequency Analysis and Feature Fusion
Frontiers in Chemical Engineering, 2022 Data-driven process monitoring is an important tool to ensure safe production and smooth operation. Generally, implicit information can be mined through data processing and analysis algorithms to detect process disturbances on the basis of historical ...
Cheng Ji +3 more
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Statistical Applications of the Multivariate Skew Normal Distribution
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1999 Summary Azzalini and Dalla Valle have recently discussed the multivariate skew normal distribution which extends the class of normal distributions by the addition of a shape parameter. The first part of the present paper examines further probabilistic properties of the distribution, with special emphasis on aspects of statistical ...
AZZALINI, ADELCHI, CAPITANIO A.
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A New Approach to Astronomical Data Analysis Based on Multiple Variables
Advances in Astronomy, 2023 Data analysis for a sample of celestial bodies generally is preceded by the completeness test in order to verify whether the sample objects are proper representatives of the corresponding part of the universe.
Prasenjit Banerjee +2 more
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Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection
Remote Sensing, 2022 In recent years, neural network-based anomaly detection methods have attracted considerable attention in the hyperspectral remote sensing domain due to their powerful reconstruction ability compared with traditional methods.
Shaoqi Yu +3 more
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