Bayesian Approach
Mostrando 1-12 de 155 artigos, teses e dissertações.
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1. On the classification and treatment of outliers in a spatial context: A Bayesian Updating approach
Abstract Checking and treating extreme values is commonplace in modelling workflows. The main methods to manage outliers may be categorized into graphical, Kriging- and simulation-based approaches. While graphical methods usually classify outliers from a global perspective, geostatistical methods evaluate outliers in a local context. Ordinary-Kriging based a
REM, Int. Eng. J.. Publicado em: 2021-09
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2. Bayesian factor analysis for mixed data on management studies
Abstract Purpose Factor analysis is the most used tool in organizational research and its widespread use in scale validations contribute to decision-making in management. However, standard factor analysis is not always applied correctly mainly due to the misuse of ordinal data as interval data and the inadequacy of the former for classical factor analysis.
RAUSP Manag. J.. Publicado em: 13/12/2019
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3. Improved Bayes estimators and prediction for the Wilson-Hilferty distribution
Abstract: In this paper, we revisit the Wilson-Hilferty distribution and presented its mathematical properties such as the r-th moments and reliability properties. The parameters estimators are discussed using objective reference Bayesian analysis for both complete and censored data where the resulting marginal posterior intervals have accurate frequentist c
An. Acad. Bras. Ciênc.. Publicado em: 19/08/2019
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4. Bayesian analysis of growth, stem straightness and branching quality in full-sib families of Eucalyptus globulus
ABSTRACT Eucalyptus globulus is one of the most commonly planted hardwood species for industrial use in various temperate regions around the world. The present study aimed to evaluate 62 full-sib families of E. globulus in one of the southernmost progeny trials of the species in the south of Chile. Estimates of genetic parameters for stem straightness, branc
Bragantia. Publicado em: 08/08/2019
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5. Partial Volume Prediction Through Nonlinear Mixed Modeling
ABSTRACT The objective of this study was to assess the prediction of partial volumes with nonlinear mixed modeling for Pinus taeda. The volume of 558 trees was measured. The four-parameter logistic model was used in its modified form for the nonlinear mixed approach and, for comparison, the 5th degree polynomial was used. In the mixed modeling, the random ef
Floresta Ambient.. Publicado em: 08/08/2019
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6. O Efeito da Assimetria de Informação Entre o Regulador e os Bancos no Requerimento de Capital Para Risco Operacional
Resumo Em meio às discussões sobre o novo modelo padronizado (SMA) para requerimento de capital para risco operacional e a possível extinção dos modelos internos (AMA), este estudo analisa os efeitos da assimetria de informação (forte característica do risco operacional) nas interações entre o regulador e o banco quanto à adoção de modelos inter
Rev. Bras. Econ.. Publicado em: 22/07/2019
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7. Population genomics and gene introgression in goat herds naturally adapted to Brazil
RESUMO Objetivou-se aplicar Chip SNP caprinos 50 K da Illumina para analisar a estrutura genômica populacional em dois rebanhos de caprinos Marota, um particular e outro de conservação oficial, localizados no Piauí, e na investigação de indícios de erosão genética provocada pela raça Anglonubiana nesses rebanhos. Para isso, 86 animais Marota e 10 A
Rev. Ciênc. Agron.. Publicado em: 04/07/2019
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8. Triple categorical regression for genomic selection: application to cassava breeding
ABSTRACT: Genome-wide selection (GWS) is currently a technique of great importance in plant breeding, since it improves efficiency of genetic evaluations by increasing genetic gains. The process is based on genomic estimated breeding values (GEBVs) obtained through phenotypic and dense marker genomic information. In this context, GEBVs of N individuals are c
Sci. agric. (Piracicaba, Braz.). Publicado em: 20/05/2019
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9. Bayesian sequential procedure to estimate the viability of seeds Coffea arabica L. in tetrazolium test
ABSTRACT: Tetrazolium tests use conventional sampling techniques in which a sample has a fixed size. These tests may be improved by sequential sampling, which does not work with fixed-size samples. When data obtained from an experiment are analyzed sequentially the analysis can be terminated when a particular decision has been made, and thus, there is no nee
Sci. agric. (Piracicaba, Braz.). Publicado em: 2019-05
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10. DRYING KINETICS OF THE SLICED PULP OF BIOFORTIFIED SWEET POTATO (Ipomoea batatas L.)
ABSTRACT Biofortified sweet potato (Ipomoea batatas) is one of the foods with the highest contributions of carotenoids in the diet, especially provitamin A carotenoids. Thus, this study aimed to analyze the drying kinetics of the biofortified sweet potato pulp using the Akaike (AIC) and Schwarz's Bayesian (BIC) information criteria for model selection, as we
Eng. Agríc.. Publicado em: 25/04/2019
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11. Bayesian network: a simplified approach for environmental similarity studies on maize
Abstract The current methodologies used to evaluate environmental similarities do not allow the simultaneous analysis and categorization of the environments. The objective of this study was to verify the possibility of using the Bayesian network (BN) to detect similarities between environments for plant height, lodging, and grain yield in maize. Thirteen exp
Crop Breed. Appl. Biotechnol.. Publicado em: 11/04/2019
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12. Spatial approach of leprosy in the State of São Paulo, 2009-2012
Abstract: Background: Leprosy is a chronic, infectious disease that affects the skin and the peripheral nervous system and can lead to permanent disability and/or deformity. Objectives: To identify the distribution and to quantify the spatial dependence of the detection rates of new cases of Hansen’s disease in the State of São Paulo, correlating with s
An. Bras. Dermatol.. Publicado em: 2019-02