Bayesian Model
Mostrando 1-12 de 252 artigos, teses e dissertações.
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1. Bayesian modeling of the maximum streamflows from the Furnas reservoir
ABSTRACT The objective of this work was to predict the maximum flow of the Furnas reservoir in the dry and wet periods. The generalized distribution of extreme values (GEV) was used with parameter estimation via Bayesian inference. Data on average daily streamflows corresponding to the years 1965 to 2017 were obtained from Hidroweb, by the National Agency fo
Engenharia Sanitaria e Ambiental. Publicado em: 2022
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2. The Baecke Habitual Physical Activity Questionnaire (BHPAQ): a valid internal structure of the instrument to assess healthy Brazilian adults
SUMMARY OBJECTIVE: This study aimed to validate the internal structure of the Brazilian version of the Baecke Habitual Physical Activity Questionnaire. METHODS: A cross-sectional study was conducted with individuals over 18 years old of both sexes, with Brazilian Portuguese as their native language. The structure of the Baecke Habitual Physical Activity Qu
Revista da Associação Médica Brasileira. Publicado em: 2022
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3. 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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4. Impairments of facial detection in tobacco use disorder: baseline data and impact of smoking duration
Objective: Chronic tobacco consumption, classified as tobacco use disorder (TUD), has been associated with a variety of health problems. Investigations of face processing in TUD are hampered by lack of evidence. Here, we evaluated facial detection in TUD and assessed test-retest reliability for a facial detection task. Methods: Participants were instructed
Braz. J. Psychiatry. Publicado em: 2021-08
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5. Presentation delay, misdiagnosis, inter-hospital transfer times and surgical outcomes in testicular torsion: analysis of statewide case series from central Brazil
ABSTRACT Purpose To estimate statewide presentation delay, misdiagnosis rate, inter-hospital transfer times and testicular salvage for testicular torsion patients treated in our state’s public health system. Patients and Methods Case series of consecutive testicular torsion patients treated in our state’s public health system between 2012-2018. Predi
Int. braz j urol.. Publicado em: 2020-12
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6. USE OF AIC AND BIC IN DESORPTION ISOTHERMS OF TAMARIND SEEDS (Tamarindus indica L.)
ABSTRACT The knowledge of hygroscopicity is essential for the storage of tamarind seeds, but there is a limitation of a judicious statistical parameter to define the best mathematical model to adjust the isotherms of plant products. Therefore, this study aimed to determine the desorption isotherms of tamarind seeds and test the Akaike information criterion (
Eng. Agríc.. Publicado em: 2020-08
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7. Spatiotemporal distribution of acquired immunodeficiency syndrome incidence in Brazil between 2012 and 2016
Abstract INTRODUCTION: Acquired immunodeficiency syndrome (AIDS) remains a major public health issue in Brazil. This ecological study aimed to evaluate the spatiotemporal distribution of notified new AIDS cases in Brazil between 2012 and 2016. METHODS: A Bayesian spatiotemporal model based on the Poisson distribution was used to obtain smoothed incidence
Rev. Soc. Bras. Med. Trop.. Publicado em: 20/12/2019
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8. 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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9. 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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10. Chanter model: nonlinear modeling of the fruit growth of cocoa
RESUMO: O crescimento de plantas e animais pode ser descrito por meio de uma curva. Essa curva é dada pela equação de um modelo não linear, como o modelo Logístico e o modelo Gompertz. O objetivo deste trabalho foi ajustar o modelo Chanter, assim como o Logístico e Gompertz, utilizando um conjunto de dados do fruto do cacaueiro do clone SIAL - 105, cu
Cienc. Rural. Publicado em: 21/10/2019
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11. Uncertainty estimation in hydrodynamic modeling using Bayesian techniques
RESUMO A avaliação de incertezas tem emergido como estudo primordial para se conhecerem os efeitos dos erros inerentes aos processos de modelagem de perfis de escoamento de vazões de cheia, de natureza aleatória e epistêmica, presentes em dados de entrada como vazões e topobatimetria, na estrutura e parametrização dos modelos matemáticos utilizados
RBRH. Publicado em: 17/10/2019
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12. Genetic evaluation models for post-weaning weight gain in a multibreed Angus-Nelore population
Resumo: O objetivo deste trabalho foi identificar o modelo mais adequado para avaliação genética do ganho de peso pós-desmama em uma população multirracial de Angus-Nelore. Foram testados três modelos com uso do método de inferência bayesiana: animal tradicional (M1), animal multirracial sem (M2) e com segregação (M3). A escolha do melhor modelo s
Pesq. agropec. bras.. Publicado em: 29/08/2019