Maximum likelihood
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Maximum Likelihood Estimation of Modal Parameters in Structures Using the Expectation Maximization Algorithm
... on Maximum Likelihood Estimation (MLE) with the Expectation Maximization (EM) ...proposed Maximum Likelihood Estimation with Expectation Maximization algo- rithm has been explained in ...
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Modeling and simulation of uncondictional maximum likelihood approach for direction of arrival of near field sourcesModelado y simulación de la aproximación de máxima verosimilitud (ML) incondicional en la determinación del DoA en campo cercano.
... The Direction of Arrival (DoA) is applied to detection of multiple sources, and is one of the most studied problem in smart antennas technology. For this purpose, there had been studied many methods, based on optimal and ...
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Introducing the photometric maximum likelihood method: galaxy luminosity functions at z < 1 2 in MUSYC ECDFS
... fact that, when evaluating the distribution of galaxies in photo- metric space, in principle, any galaxy population at any redshift can contribute to the galaxy counts at a given point in photometric space. It is not ...
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Study and application of maximum likelihood limits in the phenomenological analysis of particle physics
... The example shows that in order to have a good posterior, given a good likeli- hood but an extremely unlikely prior, the evidence must be nearly as rare as the prior. Please check again Eq. 72 to make sure you follow the ...
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Molecular phylogenetic analyses reveal the importance of taxon sampling in cryptic diversity: Liolaemus nigroviridis and L monticola (Liolaeminae) as focal species
... rearrangements); this should be considered in the design of studies. The lizard genus Liolaemus is widely distributed in southern South America and includes more than 250 described species. The number of taxa and the ...
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16638906
... the likelihood function, that is, the likelihood of drawing the prices actually selected, given the assumed value of ...a maximum likelihood estimate of l=6:7 with a standard error of ...
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Robust Fuzzy Clustering via Trimming and Constraints
... “Fuzzy clustering algorithms based on the maximum likelihood principle”, Fuzzy Sets and Systems , 42 , 213-227. “On a class of fuzzy classification maximum likelihood proce- dures” Fuzzy[r] ...
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Robust Approaches for Fuzzy Clusterwise Regression Based on Trimming and Constraints
... outlying observations. A fuzzy Classification Maximum Likelihood approach is applied in the three considered approaches. The maximization of fuzzified likelihoods is not a new idea in fuzzy clustering [15, ...
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Fitting phase type distribution to service process with sequential phases
... log likelihood and maximum log likelihood are found to be - ...by maximum likelihood shape and rate, then the joint probability density function value will increase only by an amount ...
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Rediscovery of the nemertean Prostoma graecense from Xochimilco, 75 years after its first and only record
... Maximum likelihood phylogenetic analysis (Fig. 2) recovered the 3 newly generated cox1 sequences from the Xochimilco specimens in a single group and nested within species of the genus Prostoma with 100% BS. ...
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Distribución asintotica de estimadores de momentos
... the maximum likelihood technique and the method of moments, are carefully presented and, combining the central limit theorem with the invariance property of the asymptotic normality under the application of ...
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Eigenvalues and constraints in mixture modeling: geometric and computational issues
... imum likelihood estimation for mixture models is briefly recalled in Section 2, along with conditions assuring the existence and consistency of the esti- mator, in Section 3 different constrained formulations of ...
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First substantiated record of Raja asterias Delaroche, 1809 (Elasmobranchii: Rajiformes: Rajidae) in the Gulf of Cádiz, North eastern Atlantic
... The maximum likelihood (ML) method was used to infer phylogenetic relation between taxa, using the Hasegawa-Kishino-Yano (1985) methodology with invariant sites (HKY+I) as substitution model, selected by ...
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ANALYSIS OF THE LAND USE AND COVER CHANGES IN THE METROPOLITAN AREA OF TEPIC-XALISCO (1973–2015) THROUGH LANDSAT IMAGES
... In this context, the objective of this study was to analyze the dynamics on urban LUCC at local scale. The methodology was developed through the analysis and processing of four Landsat satellite images corresponding to ...
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... Data and Empirical Analysis To measure some of the determinants of political career structures for members of the Mexican chamber of deputies, we estimate a series of maximum likelihood [r] ...
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The statistical analysis of discrete-response CV data
... estimated maximum likelihood coefficients to generate a set of N quantal responses, and then apply maximum likelihood to these simulated data to obtain a new set of coefficient estimates, from ...
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Rodents of the eastern and western slopes of the Tropical Andes: phylogenetic and taxonomic insights using DNA barcodes
... The Andes Mountains particularly the forests along the mid-elevations of their eastern and western slopes, are a hotspot of biodiversity (high numbers of species and endemics). Among mammals, rodents are a priority group ...
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The Elements of Statistical Learning Data Mining, Inference, and Prediction
... of maximum likelihood, Bayesian in- ference and the bootstrap, the EM algorithm, Gibbs sampling and bagging, A related procedure called boosting is the focus of Chapter ...
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Microeconometria_ métodos y aplicaciones_ Cameron&Trivedi
... 5.2 Marginal Effect: Three Different Estimates 122 5.3 Maximum Likelihood: Commonly Used Densities 140 5.4 Linear Exponential Family Densities: Leading Examples 148 5.5 Nonlinear Least S[r] ...
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Position Location Estimation in Ad-Hoc Networks Using a Dead Reckoning Approach-Edición Única
... This work has presented a multihop node localization scheme based on a dead reckoning approach. Assuming exponentially distributed multipath interarrival times in the channel, it was shown that resultant vector ...
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