Zobrazeno 1 - 10
of 3 485
pro vyhledávání: '"MLE"'
Autor:
Amena ilyas, Younus Al-Taweel
Publikováno v:
مجلة التربية والعلم, Vol 33, Iss 4, Pp 51-59 (2024)
Gaussian process regression models are used as statistical representations of computational models, due to their flexibility in capturing the shape of smooth functions. The Gaussian process regression model has a number of parameters, the estimation
Externí odkaz:
https://doaj.org/article/29c7ed7f36d44f6e8f9f03946230484e
Publikováno v:
Journal of Horticulture and Postharvest Research, Vol 7, Iss Issue 4, Pp 389-406 (2024)
Purpose: The study aimed to explore different extraction methods, extraction solvents, as well as solvent/water mixtures that could potentially yield(s) the best growth-enhancing, yield- and quality-promoting effects of Moringa oleifera leaf extracts
Externí odkaz:
https://doaj.org/article/28307a14a0d84665a2bd3fb2e85b3474
Autor:
Abdullah A. Zaagan, Ali M. Mahnashi
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 701-709 (2024)
In this study, a new two-parameter discrete distribution is introduced by mixing Poisson and Quasi-Shanker distributions. The new model is named Poisson Quasi-Shanker-(PQS) distribution. Some important mathematical properties of the proposed distribu
Externí odkaz:
https://doaj.org/article/178c1fdeac4842b7a14873e657021141
Autor:
Yosihiko Ogata, Takao Kumazawa
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-9 (2024)
Abstract We estimate the true aftershock activity rate from the detected initial aftershocks of the M7.6 Noto Peninsula earthquake on January 1, 2024, in addition to the preceding M6.5 Noto Peninsula earthquake on May 5, 2023. Estimating the initial
Externí odkaz:
https://doaj.org/article/4aba439282924be7919dc78a30ffc097
Bayesian mixture model for accurate assessment of monthly maximum wind speed: A case study in Gwadar
Autor:
Tasir Khan, Yejuan Wang
Publikováno v:
Heliyon, Vol 10, Iss 22, Pp e39383- (2024)
Assessment of monthly maximum wind speed (MMWS) is essential in various environmental disciplines, including architectural risk assessment, climatology, renewable energy sources, building design, and agricultural activities. The distribution of wind
Externí odkaz:
https://doaj.org/article/91ec8631849d4e1d85767820e54a71d0
Publikováno v:
Energy Geoscience, Vol 5, Iss 4, Pp 100341- (2024)
Efficient iterative unsupervised machine learning involving probabilistic clustering analysis with the expectation-maximization (EM) clustering algorithm is applied to categorize reservoir facies by exploiting latent and observable well-log variables
Externí odkaz:
https://doaj.org/article/3ff6559ae15a42fcad5652175e5f9c29
Autor:
Alaa Farhan Ahmed, Muthanna Sulaiman
Publikováno v:
المجلة العراقية للعلوم الاحصائية, Vol 21, Iss 1, Pp 90-101 (2024)
The transition matrix estimators of the Markov chain are not accurate and the transition matrix is considered given. There are many methods that are used to estimate the transition probabilities matrix for different cases, the most famous of which is
Externí odkaz:
https://doaj.org/article/41f333a676ae4c829f3a93cfaa3a9c37
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 23, Iss 2, Pp 164-173 (2024)
Abstract Many issues in real life are riddled with confusion, vagueness, and ambiguity. The Topp-Leone distribution is a significant one-parameter probability distribution in the context of classical probability theory. There is a gap in the literatu
Externí odkaz:
https://doaj.org/article/1779398b72dc4323b0fdcccaee83012b
Publikováno v:
Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024)
In this study, we propose a continuous statistical distribution consisting of four parameters based on the Gompertz family called the Gompertz Nadarajah-Haghighi (GoNH) distribution. Adding parameters to the basic distribution provides the distributi
Externí odkaz:
https://doaj.org/article/0ed4fd78eeda4d8a91bf438bb3fe8210