Statistical analysis based on quaternion normal random variables
Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie/South African Journal of Science and Technology
| Field | Value | |
| Title | Statistical analysis based on quaternion normal random variables Statistiese analise gebaseer op kwaternioonnormaalvariate | |
| Creator | Rautenbach, H. M. Roux, J. J. J. | |
| Description | The quaternion normal distribution is derived and a number of characteristics are highlighted. The maximum likelihood estimation procedure in the quaternion case is examined and the conclusion is reached that the estimation procedure is simplified if the unknown parameters of the associated real probability density function are estimated. The quaternion estimator is then obtained by regarding these estimators as the components of the quaternion estimator. By means of a example attention is given to a test criterium which can be used in the quaternion model. Die kwaternioonnormaalverdeling word afgelei en enkele eienskappe word uitgelig. Die maksimum-anneemlikheidsberamingsprosedure in die kwaternioongeval word ondersoek en die gevolgtrekking gemaak dat die beramingsprosedure telkens vergemaklik word indien die onbekende parameters van die geassosieerde reële waarskynlikheidsdigtheidsfunksie beraam word. Deur hierdie beramers dan as die komponente van die kwaternioonparameter te beskou, word die kwaternioonberamer verkry. By wyse van ’n voorbeeld word aandag gegee aan ’n toetskriterium wat in die kwaternioonmodel gebruik kan word. | |
| Publisher | AOSIS | |
| Date | 1985-03-18 | |
| Identifier | 10.4102/satnt.v4i3.1042 | |
| Source | Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie; Vol 4, No 3 (1985); 120-127 Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie; Vol 4, No 3 (1985); 120-127 2222-4173 0254-3486 | |
| Language | eng | |
| Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://journals.satnt.aosis.co.za/index.php/satnt/article/view/1042/2136
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