Maximum Likelihood Method
Mostrando 1-12 de 219 artigos, teses e dissertações.
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1. 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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2. 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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3. 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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4. 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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5. Pure line selection in a heterogeneous soybean cultivar
Abstract Although cultivars of autogamous plants are homogeneous genotypes, they may show natural variability due to mechanical mixing, natural hybridization, and mutation. The aim of the present study was to estimate genetic and phenotypic parameters and to identify and select superior genotypes that associate good performance in traits of interest from a h
Crop Breed. Appl. Biotechnol.. Publicado em: 31/10/2019
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6. Genetic parameters, genetic trends, and principal component analysis for productive and reproductive traits of Guzera beef cattle
ABSTRACT The objectives of this study were to estimate genetic parameters and genetic trends and perform principal component analysis for the following traits: body weight adjusted at 210 days of age (W210), one year (W365), and yearling or 450 days of age (W450); weight gain from birth to weaning or 210 days of age (WGBW), from weaning to 365 days of age (W
R. Bras. Zootec.. Publicado em: 12/09/2019
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7. The Generalized Odd Lindley-G Family: Properties and Applications
Abstract: We introduce a new class of continuous distributions called the generalized odd Lindley-G family. Four special models of the new family are provided. Some explicit expressions for the quantile and generating functions, ordinary and incomplete moments, order statistics and Rényi and Shannon entropies are derived. The maximum likelihood method is us
An. Acad. Bras. Ciênc.. Publicado em: 12/08/2019
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8. Usefulness of a multiplex PCR for the rapid identification of Candida glabrata species complex in Mexican clinical isolates
ABSTRACT Candida glabrata complex includes three species identified through molecular biology methods: C. glabrata sensu stricto , C. nivariensis and C. bracarensis . In Mexico, the phenotypic methods are still used in the diagnosis; therefore, the presence of C. nivariensis and C. bracarensis among clinical isolates is still unknown. The aim of this study w
Rev. Inst. Med. trop. S. Paulo. Publicado em: 08/08/2019
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9. Modeling of probability in obtaining intensity-duration-frequency relationships of rainfall occurrence for Pelotas, RS, Brazil
RESUMO Com base em séries históricas, para cada localidade, equações podem caracterizar a relação entre a intensidade, duração e frequência de ocorrência de precipitação pluvial. Objetivou-se apresentar duas equações para a localidade de Pelotas, RS, no período de 1982-2015, uma denominada convencional e outra híbrida, dependendo do modelo pr
Rev. bras. eng. agríc. ambient.. Publicado em: 10/07/2019
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10. The Log-Odd Normal Generalized Family of Distributions with Application
Abstract: The normal distribution has a central place in distribution theory and statistics. We propose the log-odd normal generalized (LONG) family of distributions based on log-odds and obtain some of its mathematical properties including a useful linear representation for the new family. We investigate, as a special model, the log-odd normal power-Cauchy
An. Acad. Bras. Ciênc.. Publicado em: 01/07/2019
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11. UTILIZAÇÃO DE MODELOS DE REGRESSÃO ALEATÓRIA PARA OBTENÇÃO DE PARÂMETROS GENÉTICOS DE BOVINOS DA RAÇA TABAPUÃ
Resumo Este trabalho utilizou 28.643 registros de pesos, do nascimento aos 660 dias de idade, de 6.471 animais da raça Tabapuã para estimar componentes de variância, covariância e parâmetros genéticos, utilizando o modelo de regressão aleatória. Foi utilizado algoritmo de busca AIREML através do método da máxima verossimilhança restrita pelo prog
Ciênc. anim. bras.. Publicado em: 10/06/2019
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12. CLASS-BASED AFFINITY PROPAGATION FOR HYPERSPECTRAL IMAGE DIMENSIONALITY REDUCTION AND IMPROVEMENT OF MAXIMUM LIKELIHOOD CLASSIFICATION ACCURACY
Resumo Este artigo investiga um método de classificação alternativo que integra o algoritmo de clusterização propagação de afinidade baseado nas classes (PAC) e o Classificador Máxima Verossimilhança (MAXVER) com a finalidade de superar as limitações do MAXVER na classificação de dados de alta dimensionalidade e, assim, melhorar a sua acurácia.
Bol. Ciênc. Geod.. Publicado em: 18/04/2019