Results 61 to 70 of about 1,621,703 (196)
The Expectation-Maximization (EM) algorithm is a broadly applicable approach to the iterative computation of maximum likelihood (ML) estimates, useful in a variety of incomplete-data problems.
Krishnan, Thriyambakam +2 more
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Exact maximum-likelihood method to detect patterns in real networks [PDF]
In order to detect patterns in real networks, randomized graph ensembles that preserve only part of the topology of an observed network are systematically used as fundamental null models. However, their generation is still problematic.
Diego Garlaschelli, Tiziano Squartini
core
Correction of the Relative Coordinates by Range using the Maximum Likelihood Method
Известия высших учебных заведений России: Радиоэлектроника, 2016 The maximum likelihood estimating algorithm for complexion measurement of the relative coordinates and distance was created, the most efficient use of heterogeneous data sources is allowed.
V. K. Orlov, V. S. Ramadanov
doaj
Zanco Journal of Humanity SciencesHypertension is a common and serious disease, and for this reason, a sample of patients was chosen from Azadi Teaching Hospital in Duhok. In this study a comparison was made between Ordinary Least Squares (OLS) with two robust methods Least Trimmed ...
Ismat Mousa Ibrahim
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A maximum-likelihood method to estimate haplotype frequencies and prevalence alongside multiplicity of infection from SNP data. [PDF]
Front Epidemiol, 2022 Tsoungui Obama HCJ, Schneider KA.
europepmc +1 more source
EMPIRICAL LIKELIHOOD ESTIMATORS OF THE LINEAR SIMULTANEOUS EQUATIONS MODEL [PDF]
Information theoretic estimators are specified for a system of linear simultaneous equations, including maximum empirical likelihood, maximum empirical exponential likelihood, and maximum log Euclidean likelihood.
Judge, George G. +2 more
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A note on forecasting demand using the multivariate exponential smoothing framework
, 2014 Simple exponential smoothing is widely used in forecasting economic time series. This is because it is quick to compute and it generally delivers accurate forecasts.
Poloni, Federico, Sbrana, Giacomo
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International Journal of Distributed Sensor Networks, 2016 Node localization is an important supporting technology in wireless sensor networks (WSNs). Traditional maximum likelihood estimation based localization methods (MLE) assume that measurement errors are independent of the distance between the anchor node ...
Jing Xu +4 more
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Weibull-Fréchet distribution: A new lifetime distribution with application to gastric cancer data [PDF]
ITM Web of ConferencesLifetime data is a type of data that consists of waiting time until an event occurs. Some of the events of lifetime data are deaths, occurrence of a disease, or failure of a machine. The distribution usually used for modeling lifetime data is the Weibull
Chindranata Marko +2 more
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