Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bernard Oguna Omolo"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-23 (2023)
Abstract This study conducted a comprehensive analysis of multiple supervised machine learning models, regressors and classifiers, to accurately predict diamond prices. Diamond pricing is a complex task due to the non-linear relationships between key
Externí odkaz:
https://doaj.org/article/307fadbb9e154ff0a3d13f90a564868a
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0291800 (2024)
This study presents a comprehensive analysis of historical fire and climatic data to estimate the monthly frequency of vegetation fires in Kenya. This work introduces a statistical model that captures the behavior of fire count data, incorporating te
Externí odkaz:
https://doaj.org/article/c116fe59f60e4c819073dd053bb809c0
Publikováno v:
PLoS ONE, Vol 19, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/7fd1ae063fd54822b2648b442debfe97
Publikováno v:
SN Applied Sciences, Vol 5, Iss 7, Pp 1-15 (2023)
Abstract The social and financial systems of many nations throughout the world are significantly impacted by life expectancy (LE) models. Numerous studies have pointed out the crucial effects that life expectancy projections will have on societal iss
Externí odkaz:
https://doaj.org/article/cb8064bf4add4c5381433ed5cd296cb1
Autor:
Daniel Cooley, Jessi Cisewski, Robert J. Erhardt, Elizabeth Mannshardt, Soyoung Jeon, Bernard Oguna Omolo, Ying Sun
Publikováno v:
Revstat Statistical Journal, Vol 10, Iss 1 (2012)
We survey the current practice of analyzing spatial extreme data, which lies at the intersection of extreme value theory and geostatistics. Characterizations of multivariate max-stable distributions typically assume specific univariate marginal distr
Externí odkaz:
https://doaj.org/article/b4a0dc4f07b24dd78e715bc41187e19c