Open Journal of Statistics

Volume 5, Issue 3 (April 2015)

ISSN Print: 2161-718X   ISSN Online: 2161-7198

Google-based Impact Factor: 1.45  Citations  

Trace of the Wishart Matrix and Applications

HTML  XML Download Download as PDF (Size: 1270KB)  PP. 173-190  
DOI: 10.4236/ojs.2015.53021    7,118 Downloads   10,117 Views  Citations

ABSTRACT

The trace of a Wishart matrix, either central or non-central, has important roles in various multi-variate statistical questions. We review several expressions of its distribution given in the literature, establish some new results and provide a discussion on computing methods on the distribution of the ratio: the largest eigenvalue to trace.

Share and Cite:

Pham-Gia, T. , Thanh, D. and Phong, D. (2015) Trace of the Wishart Matrix and Applications. Open Journal of Statistics, 5, 173-190. doi: 10.4236/ojs.2015.53021.

Cited by

[1] Measurement System Assessment Studies for Multivariate and Functional Data
2024
[2] Tomorrow Never Dies: The Impact of Measuring Portfolio Risk Ex-ante and Ex-post
2023
[3] An iterative algorithm for computing gradient directions for white matter fascicles detection in brain MRI
Physical and Engineering Sciences in Medicine, 2023
[4] A new iterative algorithm for generating gradient directions to detect white matter fibers in brain from MRI data
arXiv preprint arXiv:2110.01345, 2021
[5] An enhanced multi-fiber reconstruction technique using adaptive gradient directions coupled with MoNCW model in diffusion MRI
2021
[6] Second-Order Moments of Activity in Large Neural Network Models
2020
[7] Interference Suppression and Energy Efficiency Improvement With Massive MIMO and Relay Selection in Cognitive Two-Way Relay Networks
2020
[8] Forecast evaluation with imperfect observations and imperfect models
2018
[9] Joint design of jammer selection and beamforming for securing MIMO cooperative cognitive radio networks
2017
[10] Securing cognitive radio with a combined approach of beamforming and cooperative jamming
IET Communications, 2017
[11] Multi-Fiber Reconstruction Using Probabilistic Mixture Models for Diffusion MRI Examinations of the Brain
Modeling, Analysis, and Visualization of Anisotropy, 2017

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.