Acronyms

MLM

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MLMMulti-Level Marketing
MLMMailing List Manager
MLMMusic for Little Mozarts
MLMMen Who Love Men
MLMMy Little Monster (Japanese manga)
MLMMulti Level Marketing
MLMMetadata Lifecycle Model
MLMMulti Longitudinal Mode
MLMMulti Language Menu
MLMMedia Lifecycle Management (Spectra Logic)
MLMMilitaire Luchtvaart Museum (Dutch: Military Aviation Museum)
MLMMarxism-Leninism-Maoism
MLMMail List Management (e-mail; software)
MLMMulti-Layer Mask (semiconductor process)
MLMMid-Level Manager
MLMMaximum Likelihood Method (physics)
MLMMagazine Lee-Metford (British bolt-action magazine rifle)
MLMMedical Liability Monitor (newsletter)
MLMMaine Lighthouse Museum (Rockland, ME)
MLMMorelia, Michoacan, Mexico - Municipal (Airport Code)
MLMMan Loving Men
MLMMulti-Longitudinal Mode
MLMMedicare Learning Network
MLMMilitary Liaison Mission
MLMManaging Local Markets
MLMMound Laboratory, Miamisburg (Ohio)
MLMMoving Liquid Mirror
MLMMillilumens (1/1000th lumen)
MLMMultipurpose Lightweight Missile
MLMMilitary Liaison Office
MLMMulti-Level Metallization
MLM[not an acronym] Middle Finger (emoticon)
MLMMulti-Level Bit Mapping
MLMMission Level Measure
MLMMeiLin Miranda (webnovel author)
MLMMulti-Layered Mirror
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References in periodicals archive
Analysis was carried out by Maximum Likelihood method and the tree was constructed using MEGA7.
The maximum likelihood method requires representation of the probability density functions (PDF).
Author(s) Year Analysis method Flannery and Datta [3] 2007 Maximum likelihood method Xu and Tian [4] 2008 Maximum likelihood method Mensah et al.
Using maximum likelihood method, logistic regression coefficients b0 and bj and their standard errors are estimated and the same were used for the evaluation of fit of one or more models.
Modified Maximum Likelihood Method, Maximum Likelihood Method, Energy Pattern Method, Empirical Method and Method of Moments, to calculate the values of c and k.
We estimate these quantities by replacing [xi] and [beta] their estimations with maximum likelihood method. And the simple empirical estimator [N.sub.u]/n is taken to an estimate of [bar.F](u).
We use the full information maximum likelihood method to estimate the parameters for each market scenario and then apply pairwise tests, proposed by Voung (Econometrica, 1989) to select among the models.
This latter procedure, referred to as Generalized Maximum Likelihood method (GMLE), restricts the shape parameter estimations to physically reasonable values (MARTINS; STEDINGER, 2000).
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