Zobrazeno 1 - 10
of 18 684
pro vyhledávání: '"EM algorithm"'
Autor:
Ibrahim Alkhairy
Publikováno v:
Alexandria Engineering Journal, Vol 100, Iss , Pp 1-14 (2024)
Defining a probability model suitable for analyzing intricate and skewed real datasets holds significant importance in statistics. Here In this study, a novel class of models using the maximum of independent identical generalized Rayleigh random vari
Externí odkaz:
https://doaj.org/article/ed677e1ec2f64310b7746445d63ae2d6
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7475-7485 (2024)
Abstract Due to the limitations of the model itself, the performance of switched autoregressive exogenous (SARX) models will face potential threats when modeling nonlinear hybrid dynamic systems. To address this problem, a robust identification appro
Externí odkaz:
https://doaj.org/article/8eacff5cea28492ab0e8a4498cd0be66
Autor:
Evangelia Georgakopoulou, Theodoros M. Tsapanos, Andreas Makrides, Emmanuel Scordilis, Alex Karagrigoriou, Alexandra Papadopoulou, Vassilios Karastathis
Publikováno v:
Stats, Vol 7, Iss 3, Pp 777-792 (2024)
A study of earthquake seismicity is undertaken over the areas of Central and South America, the tectonics of which are of great interest. The whole territory is divided into 10 seismic zones based on some seismotectonic characteristics, as in previou
Externí odkaz:
https://doaj.org/article/c5dcf4c9e9a44c2f8afaf7bba9694309
Publikováno v:
Modelling, Vol 5, Iss 2, Pp 585-599 (2024)
The aim of this paper is to assess the significant impact of using quantile analysis in multiple fields of scientific research . Here, we focus on estimating conditional quantile functions when the errors follow a GARMA (Generalized Auto-Regressive M
Externí odkaz:
https://doaj.org/article/e4b5db115bcc4ef29e97ca8227016a6b
Autor:
Md Rezaul Karim
Publikováno v:
Data Science and Management, Vol 7, Iss 2, Pp 119-128 (2024)
The continuously updated database of failures and censored data of numerous products has become large, and on some covariates, information regarding the failure times is missing in the database. As the dataset is large and has missing information, th
Externí odkaz:
https://doaj.org/article/b2cfd6272b0045b6954a04a2311c0dbb
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
Publikováno v:
Revstat Statistical Journal, Vol 22, Iss 3 (2024)
The inverse Burr distribution is a significant and commonly used lifetime distribution, which plays an important role in reliability engineering. In this article, the estimation of parameters of the inverse Burr distribution based on generalized Type
Externí odkaz:
https://doaj.org/article/4b8099b0d1ff4b2db9defb5677c0d61b
Publikováno v:
Statistical Theory and Related Fields, Vol 8, Iss 2, Pp 81-106 (2024)
Zero-inflated count outcomes are common in many studies, such as counting claim frequency in the insurance industry in which identifying and understanding excessive zeros are of interest. Moreover, with the progress of data collecting and storage tec
Externí odkaz:
https://doaj.org/article/3ea21830cc3f4c059992233187e151ca
Publikováno v:
High-Confidence Computing, Vol 4, Iss 4, Pp 100225- (2024)
A content delivery network (CDN) aims to reduce the content delivery latency to end-users by using distributed cache servers. Nevertheless, deploying and maintaining cache servers on a large scale is very expensive. To solve this problem, CDN provide
Externí odkaz:
https://doaj.org/article/7c15a5f85e9d4595ba98419504c9e6a8