A Bivariate Mixture of Chi-Normal Distribution and Bounded Students’ t-Distribution
Clicks: 2
ID: 316170
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
0.3
/100
2 views
1 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #24 of 182 articles by views in Journal of Statistics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 182 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
A bivariate mixture of Chi and Normal distribution is introduced by using Jacobian transformation and rescaling the scale, shape parameters of existing Mckay’s Bivariate Gamma distribution which is considered to be the chi-normal distribution and its marginals are univariate chi and normal distribution respectively. Conditional distribution, various generating functions and its constants are shown. Similarly, the authors explored a new Bounded student’s t-distribution in the sampling literature based on chi-normal mixture and studied its characteristics, computed the percentage points at 5% and 1% level by using Maple version 16. Three-dimensional probability surfaces are visualized the shape of chi-normal densities and two-dimensional probability curves shown the shape of Bounded student’s t density heuristically. Finally, the authors confirmed the limiting distribution of bounded student’s t distribution is the standard normal and the application of Bounded student’s t distribution was also numerically illustrated.
| Reference Key |
imported_1780933977_6a26e559d116b
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | G.S. David Sam Jayakumar, A. Sulthan, Bejoy John Thomas |
| Journal | Journal of Statistics |
| Year | 2018 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.