Results 11 to 20 of about 14,165,176 (302)
A simple approach to maximum intractable likelihood estimation [PDF]
, 2013 Approximate Bayesian Computation (ABC) can be viewed as an analytic approximation of an intractable likelihood coupled with an elementary simulation step.
Rubio, Francisco J., Johansen, Adam M.
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Estimation of servo-system parameters using maximum likelihood method
Vojnotehnički Glasnik, 1998 The problem of estimation of servo system parameters that cannot be measured is solved. Unknown parameters are estimated using system response measurements. A special discrete, recursive and iterative form of maximum likelihood method is presented.
Nenad Dodić
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Sakarya 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
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Particle methods for maximum likelihood estimation in latent variable models [PDF]
, 2008 Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants.
Davy, Manuel +8 more
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Maximum likelihood estimation of the parameters of a system of simultaneous regression equations [PDF]
, 1988 Procedures for computing the full information maximum likelihood (FIML) estimates of the parameters of a system of simultaneous regression equations have been described by Koopmans, Rubin, and Leipnik, Chernoff and Divinsky, Brown, and Eisenpress ...
James Durbin, Durbin, J.
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Analyzing the Maximum Likelihood Score Estimation Method with Fences in ca-MST
International Journal of Assessment Tools in Education, 2020 New statistical methods are being added to theliterature as a result of scientific developments each and every day. Thisstudy aims at investigating one of these, Maximum Likelihood Score Estimationwith Fences (MLEF) method, in ca-MST.
Nagihan Boztunç Öztürk +1 more
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GNSS spoofing detection using a maximum likelihood-based sliding window method.
PLoS ONE, 2020 The Global Navigation Satellite System is vulnerable to interference signals that can potentially disable the system, because the signal strength tends to be very weak. Interference such as jamming, which disables the receiver via excessively high signal
Seongkyun Jeong
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Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]
, 2006 We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the ExpectationMaximization (EM) algorithm and its Monte Carlo variants. Our
Davy, Manuel +12 more
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Journal of Fundamental and Applied Sciences, 2015 In this study, five numerical Weibull distribution methods, namely, the maximum likelihood method, the modified maximum likelihood method (MLM), the energy pattern factor method (EPF), the graphical method (GM), and the empirical method (EM) were ...
D. Kidmo Kaoga +3 more
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A scalable maximum likelihood method for quantum state tomography
New Journal of Physics, 2013 The principle of maximum likelihood reconstruction has proven to yield satisfactory results in the context of quantum state tomography for many-body systems of moderate system sizes.
T Baumgratz +3 more
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