maximum likelihood
MAXIMUM LIKELIHOOD PARAMETER ESTIMATORS FOR THE TWO POPULATIONS GEV DISTRIBUTION
... of maximum likelihood for estimating the parameters of the two populations general extreme value (TPGEV) probability distribution function for the maxima is presented for the case of flood frequency ...
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Efficiency of QTL mapping based on least squares, maximum likelihood, and Bayesian approaches under high marker density
... The analyses were performed using the R packages qtl (Broman et al., 2003), eqtl (Khalili and Loudet, 2014), and qtlbim (Yandell et al., 2007) (see the codes in Appendix). For the maximum likelihood and ...
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COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND MAXIMUM LIKELIHOOD CLASSIFICATION IN DIGITAL SOIL MAPPING
... Soil surveys are the main source of spatial information on soils and have a range of different applications, mainly in agriculture. The continuity of this activity has however been severely compromised, mainly due to a ...
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Asymmetric stochastic volatility models: properties and particle filter-based simulated maximum likelihood estimation
... The likelihood function of SV models is expressed by a high dimension integral which cannot be solved analytically due to the presence of the unobserved ...result, maximum likelihood estimation of ...
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Maximum-likelihood model averaging to profile clustering of site types across discrete linear sequences.
... A major analytical challenge in computational biology is the detection and description of clusters of specified site types, such as polymorphic or substituted sites within DNA or protein sequences. Progress has been ...
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A topological restricted maximum likelihood (TopREML) approach to regionalize trended runoff signatures in stream networks
... stricted maximum likelihood (REML) framework generates the best linear unbiased predictor (BLUP) of both the predicted variable and the associated prediction uncer- tainty, even when incorporating ...
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Employing a Monte Carlo algorithm in Newton-type methods for restricted maximum likelihood estimation of genetic parameters.
... Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects ...
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Analyzing pathogen suppressiveness in bioassays with natural soils using integrative maximum likelihood methods in R
... The potential of soils to naturally suppress inherent plant pathogens is an important ecosystem function. Usually, pathogen infection assays are used for estimating the suppressive potential of soils. In natural soils, ...
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Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood
... Limitations and deficiencies of different remote sensing sensors in extraction of different objects caused fusion of data from different sensors to become more widespread for improving classification results. Using a ...
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Maximum likelihood estimation of the negative binomial dispersion parameter for highly overdispersed data, with applications to infectious diseases.
... of maximum-likelihood estimates of k from highly overdispersed ...that maximum likelihood estimates of k can be biased upward by small sample size or under-reporting of zero-class events, but ...
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Estimating a Logistic Discrimination Functions When One of the Training Samples Is Subject to Misclassification: A Maximum Likelihood Approach.
... the maximum likelihood guarantees that–if the model is correctly speci- fied–the parameter estimators have well established nice properties such as consistency and (asymptotic) efficiency ...
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Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function
... The Generalized Cross Correlation (GCC) framework is one of the most widely used methods for Time Di erence Of Arrival (TDOA) estimation and Sound Source Localization (SSL). TDOA estimation using cross correlation ...
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Long branch effects distort maximum likelihood phylogenies in simulations despite selection of the correct model.
... of maximum likelihood with respect to different long branch effects on multiple-taxon ...correct likelihood model assumptions can ...of maximum likelihood in comparison with models ...
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FlowMax: A Computational Tool for Maximum Likelihood Deconvolution of CFSE Time Courses.
... The immune response is a concerted dynamic multi-cellular process. Upon infection, the dynamics of lymphocyte populations are an aggregate of molecular processes that determine the activation, division, and longevity of ...
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PHASE NOISE INVESTIGATION OF MAXIMUM LIKELIHOOD ESTIMATION METHOD FOR AIRBORNE MULTIBASELINE SAR INTERFEROMETRY
... The maximum likelihood (ML) method calculates a most-likely phase from arrays of focused SAR data (Single Look Complex data) according to a model (Lombardo, ...
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Performance of MIMO-OFDM system using Linear Maximum Likelihood Alamouti Decoder
... utilizing maximum likelihood (ML) decoding, mainly due to the large size of the system constellation and the codeword structure and it become the second problems addressed in this ...enable maximum ...
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Comparison of Mixture and Classification Maximum Likelihood Approaches in Poisson Regression Models
... maximum likelihood. We apply two maximization algorithms to obtain the maximum likelihood estimates: the Expectation Maximization (EM) algorithm (see Dempster et ...
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Diversification of Ramphastinae (Aves, Ramphastidae) prior to the CretaceousTertiary boundary as shown by molecular clock of mtDNA sequences
... Partial cytochrome b and 12S rDNA mitochondrial DNA sequences of eight representatives of the Ramphastidae family were analyzed. We applied the linearized tree method to identify sequences evolving at similar rates and ...
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Factors influencing the selection of communal roost sites by the Black Vulture Coragyps atratus (Aves: Cathartidae) in an urban area in Central Amazon
... Using maximum-likelihood analysis and information-theoretic multimodel inference, we investigated the effects of VR covariates (size, shape, and location relative to feeding sites, to thermal power plants, ...
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Ancient DNA provides new insights into the evolutionary history of New Zealand's extinct giant eagle.
... (C) Maximum-likelihood tree based on cyt b data (circa 1 kb), depicting phylogenetic relationships within the ‘‘booted eagle’’ group. Extraction numbers or GenBank accession numbers are shown along with ...
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