Maximum Likelihood
Mostrando 1-12 de 630 artigos, teses e dissertações.
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1. The complete chloroplast genome sequence of Vincetoxicum mongolicum (Apocynaceae), a perennial medicinal herb
Abstract Vincetoxicum mongolicum Maxim. (1876), is a perennial medicinal herb, widely distributed in the Loess Plateau of China. Here, we sequenced, assembled, and annotated the complete chloroplast (cp) genome of V. mongolicum, and compared the highly variable gene regions and phylogenetic positions between V. mongolicum and other related species. Results s
Genetics and Molecular Biology. Publicado em: 2023
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2. Sparse Estimation of the Precision Matrix and Plug-In Principle in Linear Discriminant Analysis for Hyperspectral Image Classification
ABSTRACT In this paper, a new method for supervised classification of hyperspectral images is proposed for the case in which the size of the training sample is small. It consists of replacing in the Mahalanobis distance the maximum likelihood estimator of the precision matrix by a sparse estimator. The method is compared with two other existing versions of L
Trends in Computational and Applied Mathematics. Publicado em: 2022
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3. Mathematical Analysis and Improvement of the Maximum Spatial Eigenfilter for Direction of Arrival Estimation
Abstract Maximum spatial eigenfiltering improves the accuracy of maximum likelihood direction-of-arrival estimators for closely-spaced signal sources but may interchangeably attenuate widely-spaced signal sources, producing a severe performance degradation. Although this behavior has been observed experimentally, it still lacks a mathematical explanation. In
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2021-03
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4. Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding
ABSTRACT An accurate, efficient and informative statistical method for analyses of genotype × environment (G × E) interactions is a key requirement for progress in any breeding program. Thus, the objective of this study was to quantify individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus (E
Bragantia. Publicado em: 2020-12
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5. Efficiency of electricity distribution companies
Abstract Purpose After assessing papers on efficiency, most of the studies available are focused on the analysis of efficiency measures, without providing a deep discussion of the factors that determine efficiency. This study aims to evaluate the efficiency of Brazilian electricity distribution companies based on a structural model that enables the identifi
RAUSP Manag. J.. Publicado em: 2020-06
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6. MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES
ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The datab
CERNE. Publicado em: 2020-03
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7. Estimating Poisson pseudo-maximum-likelihood rather than log-linear model of a log-transformed dependent variable
Abstract Purpose The purpose of this study is to account for a recent non-mainstream econometric approach using microdata and how it can inform research in business administration. More specifically, the paper draws from the applied microeconometric literature stances in favor of fitting Poisson regression with robust standard errors rather than the OLS lin
RAUSP Manag. J.. Publicado em: 13/12/2019
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8. Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV-models
ABSTRACT The selection of an appropriate nonstationary Generalized Extreme Value (GEV) distribution is frequently based on methods, such as Akaike information criterion (AIC), second-order Akaike information criterion (AICc), Bayesian information criterion (BIC) and likelihood ratio test (LRT). Since these methods compare all GEV-models considered within a s
Bragantia. Publicado em: 13/12/2019
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9. PROFILE OF HCV GENOTYPES AND HIV-SUBTYPES AMONG HIV-COINFECTED PATIENTS IN SOUTHERN BRAZIL
RESUMO CONTEXTO: Os vírus das hepatites B e C (VHB e VHC) são os causadores das duas infecções mais comuns entre os pacientes infectados pelo vírus da imunodeficiência humana (HIV). OBJETIVO: Identificar a frequência dos subtipos do HIV e genótipos de VHC em pacientes coinfectados com HIV. MÉTODOS: Estudo transversal e retrospectivo realizado
Arq. Gastroenterol.. Publicado em: 28/11/2019
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10. Annual cropland mapping using data mining and OLI Landsat-8
RESUMO No Estado do Paraná, Brasil, não há grandes mudanças nas áreas cultivadas com culturas anuais, principalmente devido a leis ambientais que não permitem expansões para novas áreas. Há grande contribuição das culturas anuais para a demanda doméstica de alimentos e econômica nas exportações. Assim, a área e distribuição das culturas anu
Rev. bras. eng. agríc. ambient.. Publicado em: 25/11/2019
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11. Molecular characterization and genetic relationships of seven piranha species of the genera Serrasalmus and Pygocentrus (Characiformes: Serrasalmidae) from Paraná-Paraguay, São Francisco and Tocantins River basins in Brazil
Resumo Relações genéticas e filogenéticas de sete espécies de piranhas dos gêneros Serrasalmus e Pygocentrus das bacias hidrográficas Paraná-Paraguai, São Francisco e Tocantins foram avaliadas com base em sequências parciais dos genes mitocondriais Citocromo b e Citocromo c Oxidase I. Foram realizadas análises filogenéticas de Máxima Verossimilh
Braz. J. Biol.. Publicado em: 25/11/2019
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12. Simultaneous selection for yield, adaptability, and genotypic stability in immature cowpea using REML/BLUP
Resumo: O objetivo deste trabalho foi selecionar genótipos de feijão-caupi simultaneamente para alta produção de grãos imaturos, adaptabilidade e estabilidade genotípica, ao se considerar interações genótipos x ambientes. Foram utilizados os modelos mistos máxima verossimilhança restrita (REML)/melhor predição linear não viciada (BLUP). Avaliar
Pesq. agropec. bras.. Publicado em: 25/11/2019