Zobrazeno 1 - 3
of 3
pro vyhledávání: '"F. O. Oyegue"'
Autor:
P. Osatohanmwen, M. S. Omotayo-Tomo, F. O. Oyegue, V. Mazona, F. Ewere, A. Bilesanmi, N. L. Osawe
Publikováno v:
Journal of Applied Sciences and Environmental Management, Vol 27, Iss 2 (2023)
Hidden Markov Models (HMMs) which fall under the class of latent variable models have received widespread attention in many fields of applications. HMMs were initially developed and applied within the context of speech recognition. The theoretical fr
Externí odkaz:
https://doaj.org/article/f56c27dd3df34a41866ceecfcff45a88
Publikováno v:
Journal of Statistics and Management Systems. 22:415-423
This paper considers the application of kernel density derivatives to real life data. Kernel density derivatives estimation is very fundamental and critical in statistical data analysis especially for exploratory and visualization purposes. As a resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ff605cbb1706c0758fa21719b7ddd6a
https://doi.org/10.1080/09720510.2018.1524956
https://doi.org/10.1080/09720510.2018.1524956
Publikováno v:
Mathematics and Statistics. 6:1-8
The bivariate kernel density estimator is fundamental in data smoothing methods especially for data exploration and visualization purposes due to its ease of graphical interpretation of results. The crucial factor which determines its performance is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b7d6f991a9ad407892a8b59dc561113
https://doi.org/10.13189/ms.2018.060101
https://doi.org/10.13189/ms.2018.060101