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Comparison of Three-Parameter Weibull Distribution Parameter Estimators with the Maximum Likelihood Method

open access: diamondSakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022
Important distributions used to model and analyse data in various real-life sciences such as natural sciences, engineering, and medicine are the Weibull, Weibull exponential, and Weibull Rayleigh distribution.
Sejhan Idrizi   +3 more
doaj   +2 more sources

Maximum Likelihood Localization Method With MIMO-OFDM Transmission

open access: yesIEEE Access, 2021
In this research, we propose to estimate the location of mobile users by using the maximum likelihood (ML) method with statistical properties of the transmission signal angle of departure (AOD) and received signal strength (RSS) from access points (APs ...
Wan Amirul Mahyiddin   +3 more
doaj   +1 more source

MULTILEVEL REGRESSION WITH MAXIMUM LIKELIHOOD AND RESTRICTED MAXIMUM LIKELIHOOD METHOD IN ANALYZING INDONESIAN READING LITERACY SCORES

open access: yesBarekeng, 2022
The multilevel regression model is a development of the linear regression model that can be used to analyze data that has a hierarchical structure.
Vera Maya Santi   +2 more
doaj   +1 more source

Seismic Phase Association Based on the Maximum Likelihood Method

open access: yesFrontiers in Earth Science, 2021
Phase association is a process that links seismic phases triggered at the stations of a seismic network to declare the occurrence of earthquakes. During phase association, a set of phases from different stations is examined to determine the common origin
Dong-Hoon Sheen, Paul A. Friberg
doaj   +1 more source

A new maximum-likelihood method for template fits

open access: yesEuropean Physical Journal C: Particles and Fields, 2022
A common statistical problem in particle physics is to extract the number of samples which originate from a statistical process in an ensemble containing a mix of several contributing processes. The probability density function of each process is usually
Hans Dembinski, Ahmed Abdelmotteleb
doaj   +1 more source

Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders [PDF]

open access: yes, 2021
Random effect models are popular statistical models for detecting and correcting spurious sample correlations due to hidden confounders in genome-wide gene expression data.
Malik, Muhammad Ammar, Michoel, Tom
core   +2 more sources

A novel method developed to estimate Weibull parameters

open access: yesEnergy Reports, 2020
The objective of current work is to compare a newly developed method i.e. Wind Energy Intensification Method (WEIM) with two previously used methods i.e.
Muhammad Sumair   +4 more
doaj   +1 more source

Maximum likelihood estimation of ocean wave spectra from general arrays of wave gauges [PDF]

open access: yesModeling, Identification and Control, 1988
The paper discusses estimation of directional ocean wave spectra from a spatial array of sensors by means of the Maximum Likelihood (ML) method. An iterative improvement of the ML estimate is proposed and illustrated on synthetic and real data.
Harald E. Krogstad
doaj   +1 more source

Maximum-likelihood method in quantum estimation [PDF]

open access: yes, 2001
The maximum-likelihood method for quantum estimation is reviewed and applied to the reconstruction of density matrix of spin and radiation as well as to the determination of several parameters of interest in quantum optics.Comment: 12 pages, 4 ...
D'Ariano, G. M.   +2 more
core   +2 more sources

Analytical maximum-likelihood method to detect patterns in real networks [PDF]

open access: yes, 2011
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.
Garlaschelli, Diego, Squartini, Tiziano
core   +2 more sources

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