F. A. Fernandes, Édipo Menezes da Silva, Kelly Pereira de Lima, S. A. Jane, T. J. Fernandes, J. A. Muniz
The growth curves of animals, in general, have an “S” shape, also known as sigmoidal curves. This type of curve is well fitted by nonlinear regression models, including von Bertalanffy’s model, which has been widely applied in several areas, being presented in literature through different parameterizations, which in practice, can complicate its understanding, affect nonlinearity measures and inferences about parameters. To quantify the nonlinearity present in a Bates and Watts model, a geometric concept of curvature has been used. The aim of this work was to analytically develop three parameterizations of the von Bertalanffy’s nonlinear model referring to its nonlinearity, implications for inferences and to establish relationships between parameters in the different ways of expressing the models. These parameterizations were adjusted to the growth data of sheep. For each parameterization, the intrinsic and parametric curvature measurements described by Bates and Watts were calculated. The parameterization choice affects nonlinearity measures, consequently, influences the reliability and inferences about estimated parameters. The forms most used in literature showed the greatest deviations from linearity, showing the importance of analyzing these measures in any growth curve study. Parameterization should be used in which the b estimate represents the abscissa of the inflection point, as it presents minor linearity deviations and direct biological interpretation for all parameters. 1Universidade Federal de Lavras UFLA, Departamento de Estat́ıstica, Programa de PósGraduação em Estat́ıstica e Experimentação Agropecuária, Caixa Postal 3037, CEP: 37200900, Lavras, MG, Brasil. E-mails: fernandesfelipest@gmail.com; ediposvm01@gmail.com; kelly limaadm@hotmail.com; serztjane@gmail.com; tales.jfernandes@ufla.br; joamuniz@ufla.br. 2Universidade Lúrio UniLúrio, Faculdade de Ciências Agrárias, Departamento de produção e proteção vegetal, CEP: 1115-04, Unango Niassa, Moçambique E-mail: serztjane@gmail.com Rev. Bras. Biom., Lavras, v.38, n.3, p.369-384, 2020 doi: 10.28951/rbb.v38i3.457 369
动物的生长曲线一般呈S形，也称为S型曲线。非线性回归模型可以很好地拟合这类曲线，包括von Bertalanffy的模型，该模型已在多个领域得到广泛应用，在文献中通过不同的参数化提出，这在实践中会使其理解复杂化，影响非线性测量和参数推断。为了量化贝茨和沃茨模型中存在的非线性，使用了曲率的几何概念。这项工作的目的是分析地发展冯贝塔朗菲非线性模型的三种参数化，参考其非线性、推论的含义，并以不同的方式建立模型表达参数之间的关系。将这些参数化调整为绵羊的生长数据。对于每一个参数化，计算贝茨和瓦茨描述的内在曲率和参数曲率测量值。参数化的选择影响非线性测度，从而影响估计参数的可靠性和推断性。文献中最常用的形式显示出最大的线性偏差，表明在任何生长曲线研究中分析这些措施的重要性。当b估计代表拐点的横坐标时，应该使用参数化，因为它对所有参数表示较小的线性偏差和直接的生物学解释。1巴西拉夫拉斯联邦大学，州系ıstica，项目PósGraduação em Estat´ıstica e experimentapart o Agropecuária, Caixa邮政3037,CEP: 37200900，拉夫拉斯，MG，巴西。电子邮件:fernandesfelipest@gmail.com;ediposvm01@gmail.com;凯利limaadm@hotmail.com;serztjane@gmail.com;tales.jfernandes@ufla.br;joamuniz@ufla.br。2大学Lúrio UniLúrio, Ciências Agrárias学院，植物生产与保护与学系，CEP: 1115-04, Unango Niassa, mo ambique, e -mail: serztjane@gmail.com Rev. Bras。Biom。[j] .中国科学院学报，2013,p.369-384, 2020 doi: 10.28951/rbb.v38i3.457 369
{"title":"PARAMETERIZATIONS OF THE VON BERTALANFFY MODEL FOR DESCRIPTION OF GROWTH CURVES","authors":"F. A. Fernandes, Édipo Menezes da Silva, Kelly Pereira de Lima, S. A. Jane, T. J. Fernandes, J. A. Muniz","doi":"10.28951/RBB.V38I3.457","DOIUrl":"https://doi.org/10.28951/RBB.V38I3.457","url":null,"abstract":"The growth curves of animals, in general, have an “S” shape, also known as sigmoidal curves. This type of curve is well fitted by nonlinear regression models, including von Bertalanffy’s model, which has been widely applied in several areas, being presented in literature through different parameterizations, which in practice, can complicate its understanding, affect nonlinearity measures and inferences about parameters. To quantify the nonlinearity present in a Bates and Watts model, a geometric concept of curvature has been used. The aim of this work was to analytically develop three parameterizations of the von Bertalanffy’s nonlinear model referring to its nonlinearity, implications for inferences and to establish relationships between parameters in the different ways of expressing the models. These parameterizations were adjusted to the growth data of sheep. For each parameterization, the intrinsic and parametric curvature measurements described by Bates and Watts were calculated. The parameterization choice affects nonlinearity measures, consequently, influences the reliability and inferences about estimated parameters. The forms most used in literature showed the greatest deviations from linearity, showing the importance of analyzing these measures in any growth curve study. Parameterization should be used in which the b estimate represents the abscissa of the inflection point, as it presents minor linearity deviations and direct biological interpretation for all parameters. 1Universidade Federal de Lavras UFLA, Departamento de Estat́ıstica, Programa de PósGraduação em Estat́ıstica e Experimentação Agropecuária, Caixa Postal 3037, CEP: 37200900, Lavras, MG, Brasil. E-mails: fernandesfelipest@gmail.com; ediposvm01@gmail.com; kelly limaadm@hotmail.com; serztjane@gmail.com; tales.jfernandes@ufla.br; joamuniz@ufla.br. 2Universidade Lúrio UniLúrio, Faculdade de Ciências Agrárias, Departamento de produção e proteção vegetal, CEP: 1115-04, Unango Niassa, Moçambique E-mail: serztjane@gmail.com Rev. Bras. Biom., Lavras, v.38, n.3, p.369-384, 2020 doi: 10.28951/rbb.v38i3.457 369","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86263881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
§ ABSTRACT: Wildfires can affect ecosystem structure and threaten human lives. Understanding fire behavior and predicting fire activities is a crucial issue to mitigate fire impacts. Machine Learning is currently an important tool for the modeling, analysis, and visualization of environmental data and wildfire events. In this study, we assessed the performance of two machine learning algorithms for modeling and predicting fire intensity, the height of flames, and fire rate of spreading in Eucalyptus urophylla (Myrtaceae, Myrtales) and Eucalyptus grandis (Myrtaceae, Myrtales) plantations spatially located in Viçosa MG, Brazil. The Random Forest showed to be the best algorithm for fire modeling, with climatic conditions, and moisture of the combustible material being the variables that significantly affect the prediction of fire behavior.
{"title":"FIRE BEHAVIOR PREDICTION USING MACHINE LEARNING ALGORITHMS","authors":"V. B. Rodrigues, Fillpe Tamiozzo Pereira Torres","doi":"10.28951/RBB.V38I3.452","DOIUrl":"https://doi.org/10.28951/RBB.V38I3.452","url":null,"abstract":"§ ABSTRACT: Wildfires can affect ecosystem structure and threaten human lives. Understanding fire behavior and predicting fire activities is a crucial issue to mitigate fire impacts. Machine Learning is currently an important tool for the modeling, analysis, and visualization of environmental data and wildfire events. In this study, we assessed the performance of two machine learning algorithms for modeling and predicting fire intensity, the height of flames, and fire rate of spreading in Eucalyptus urophylla (Myrtaceae, Myrtales) and Eucalyptus grandis (Myrtaceae, Myrtales) plantations spatially located in Viçosa MG, Brazil. The Random Forest showed to be the best algorithm for fire modeling, with climatic conditions, and moisture of the combustible material being the variables that significantly affect the prediction of fire behavior.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84722681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos José dos Reis, Laerte Dias de Carvalho, L. Chaves, Devanil Jaques de Souza
Three relevant facts about the least absolute shrinkage and selection operator (Lasso) are studied: The estimatives follows piecewise linear curves in relation to tuning parameter, the number of nonzero selected covariates is an unbiased estimator of its degrees of freedom and when the number of covariates p is greater than the numbers of observations n at most n covariates are selected. These results are well known and described in the literature, but with no simple demonstrations. We present, based on a geometrical approach, simple and intuitive heuristics proofs for these results.
{"title":"THREE SIMPLE HEURISTICS MATHEMATICAL PROOFS ON LASSO THEORY","authors":"Carlos José dos Reis, Laerte Dias de Carvalho, L. Chaves, Devanil Jaques de Souza","doi":"10.28951/rbb.v38i2.444","DOIUrl":"https://doi.org/10.28951/rbb.v38i2.444","url":null,"abstract":"Three relevant facts about the least absolute shrinkage and selection operator (Lasso) are studied: The estimatives follows piecewise linear curves in relation to tuning parameter, the number of nonzero selected covariates is an unbiased estimator of its degrees of freedom and when the number of covariates p is greater than the numbers of observations n at most n covariates are selected. These results are well known and described in the literature, but with no simple demonstrations. We present, based on a geometrical approach, simple and intuitive heuristics proofs for these results.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80812511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A non-informative bayesian approach to sample-based fishery surveys is proposed. The Polya posterior for finite population parameters is used to obtain the inferences. The viability of a sampling plan was used in a pilot field experiment to collect weekly information about effort and catch from the artisanal fishery in Rio Grande, RS. Based on a simulated virtual population with four species and 345 fishermen, the sampling plan was tested using a sampling fraction of 3.3% from a complete data matrix of 2760 components. Results have shown accuracies above 71% for all but the most problematic species 2, and around 90% for estimates of total catch and cummulative effort. The percentile probability intervals (ICr) perform slightly better than the highest density interval (HDI) in terms of coverage; although both resulted about 5 percentage points bellow the nominal value of 95%.
{"title":"POSTERIOR DE POLYA NO MONITORAMENTO AMOSTRAL DE PESCARIAS","authors":"Paul Gerhard Kinas, Jonata Cristian Wieczynski","doi":"10.28951/rbb.v38i2.441","DOIUrl":"https://doi.org/10.28951/rbb.v38i2.441","url":null,"abstract":"A non-informative bayesian approach to sample-based fishery surveys is proposed. The Polya posterior for finite population parameters is used to obtain the inferences. The viability of a sampling plan was used in a pilot field experiment to collect weekly information about effort and catch from the artisanal fishery in Rio Grande, RS. Based on a simulated virtual population with four species and 345 fishermen, the sampling plan was tested using a sampling fraction of 3.3% from a complete data matrix of 2760 components. Results have shown accuracies above 71% for all but the most problematic species 2, and around 90% for estimates of total catch and cummulative effort. The percentile probability intervals (ICr) perform slightly better than the highest density interval (HDI) in terms of coverage; although both resulted about 5 percentage points bellow the nominal value of 95%.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79290698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bayner Julián Ramírez-Calderón, C. González-Correa, C. Gonzalez-Correa
Obesity affects millions of people worldwide, becoming a public health problem with serious implications for human life quality. This is why low-cost prevention and diagnostic strategies that are accessible to the entire population are needed. Low-cost and easy-to-use strategies include the measurement of Body Mass Index (BMI) and measurement of waist circumference (WC). The objective was to determine whether the percentage of body fat in Colombian college students can be predicted through BMI or WC, establishing WC cutoff points. This was a descriptive cross-sectional study with a simple random sample. The study included 687 students aged 18-35 years old from both sexes. Anthropometric measures of weight, length, waist circumference at navel level and skin folds (bicipital, tricipital, subscapular and suprailiac) were obtained. The sensitivity and specificity of BMI and the waist circumference at navel level (WCN) were determined to predict the estimated percentage of body fat by measuring skin folds. The cutting points of the waist circumference for men and women were determined by drawing up a Receiver Operating Characteristic Curve (ROC). Greater sensitivity and specificity of WCN were found in comparison with BMI, to predict the percentage of body fat.
{"title":"WAIST CIRCUMFERENCE CUT-OFF POINTS OR BODY MASS INDEX FOR PREDICTING FAT MASS IN COLLEGE STUDENTS","authors":"Bayner Julián Ramírez-Calderón, C. González-Correa, C. Gonzalez-Correa","doi":"10.28951/rbb.v38i2.435","DOIUrl":"https://doi.org/10.28951/rbb.v38i2.435","url":null,"abstract":"Obesity affects millions of people worldwide, becoming a public health problem with serious implications for human life quality. This is why low-cost prevention and diagnostic strategies that are accessible to the entire population are needed. Low-cost and easy-to-use strategies include the measurement of Body Mass Index (BMI) and measurement of waist circumference (WC). The objective was to determine whether the percentage of body fat in Colombian college students can be predicted through BMI or WC, establishing WC cutoff points. This was a descriptive cross-sectional study with a simple random sample. The study included 687 students aged 18-35 years old from both sexes. Anthropometric measures of weight, length, waist circumference at navel level and skin folds (bicipital, tricipital, subscapular and suprailiac) were obtained. The sensitivity and specificity of BMI and the waist circumference at navel level (WCN) were determined to predict the estimated percentage of body fat by measuring skin folds. The cutting points of the waist circumference for men and women were determined by drawing up a Receiver Operating Characteristic Curve (ROC). Greater sensitivity and specificity of WCN were found in comparison with BMI, to predict the percentage of body fat.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79378539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Bressan, Beatriz Cristina Flamia de Azevedo, Roberto Molina de Souza
The goal of this paper is to study the relationships between the main attributes that influence the diagnosis and control of Diabetes Mellitus Type 2 and to generate an automatic classification tool that allows inferring about the glycemic index and which can be used as a medical aid in order to the patient with diabetes can be directed to the appropriate treatment. The methods proposed for this task are based on Bayesian Classification method, which uses the BayesRule algorithm and is able to investigate probabilistic uncertainties in the data, and on the classification method using Decision Trees, which is a classification tool widely used in data mining due to easy interpretation of the results. Both methodologies extract linguistic classification rules, which allows the comparison of their performances. According to the cross-validation process, the Bayesian classification method with the BayesRule algorithm presents 65% accuracy in the classification task for the intervention group and 47.5% for the control group. The Pruning Decision Trees present 73.68% accuracy for the intervention group and 69.23% for the control group. Then the results obtained in this study are satisfactory, and may contribute to the control and prediction of the development of patients with Diabetes Mellitus Type 2.
{"title":"MÉTODOS DE CLASSIFICAÇÃO AUTOMÁTICA PARA PREDIÇÃO DO PERFIL CLÍNICO DE PACIENTES PORTADORES DO DIABETES MELLITUS","authors":"G. Bressan, Beatriz Cristina Flamia de Azevedo, Roberto Molina de Souza","doi":"10.28951/rbb.v38i2.445","DOIUrl":"https://doi.org/10.28951/rbb.v38i2.445","url":null,"abstract":"The goal of this paper is to study the relationships between the main attributes that influence the diagnosis and control of Diabetes Mellitus Type 2 and to generate an automatic classification tool that allows inferring about the glycemic index and which can be used as a medical aid in order to the patient with diabetes can be directed to the appropriate treatment. The methods proposed for this task are based on Bayesian Classification method, which uses the BayesRule algorithm and is able to investigate probabilistic uncertainties in the data, and on the classification method using Decision Trees, which is a classification tool widely used in data mining due to easy interpretation of the results. Both methodologies extract linguistic classification rules, which allows the comparison of their performances. According to the cross-validation process, the Bayesian classification method with the BayesRule algorithm presents 65% accuracy in the classification task for the intervention group and 47.5% for the control group. The Pruning Decision Trees present 73.68% accuracy for the intervention group and 69.23% for the control group. Then the results obtained in this study are satisfactory, and may contribute to the control and prediction of the development of patients with Diabetes Mellitus Type 2.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80483875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Nardino, J. M. Pereira, Vinícius Torres Marques, Fabiano Costa D'avila, Francisco Dias Franco, W. S. Barros
§ ABSTRACT: The magnitude of the variation coefficient (CV) is insufficient to validate the quality of the experiment, regardless of the number of treatments, repetitions and effect of treatments. The objective was to develop a new approach to the study of coefficient of variation, as well as evaluations of these nuances with applicability in new scientific research. The study was conducted via computer simulation. The replicates (r) ranged from 2, 3, 4, 5, 10 to 20. The treatment number (t) ranged from t 5, 10, 15, 20, 25 and 30. In each of these combined scenarios we have the variation of 25 different CVs, ranging from 1, 3, 5, 7, ..., 49 to 51 %. It was imposed the variation of 11 treatment effects 0, 240, 480, 720, ..., 2000, 2400 kg ha-1, totaling 9,900.00 scenarios. The type I error is statistically invariant in the scenarios studied. With high treatment effect the CV has no implications on the power of the test (1-β). The results obtained in this research reveal that experiments with a high percentage of CV are sufficient to obtain high probabilities of the power of the F test, which do not compromise the complementary analyzes.
{"title":"COEFFICIENT OF VARIATION: A NEW APPROACH FOR THE STUDY IN MAIZE EXPERIMENTS","authors":"M. Nardino, J. M. Pereira, Vinícius Torres Marques, Fabiano Costa D'avila, Francisco Dias Franco, W. S. Barros","doi":"10.28951/rbb.v38i2.440","DOIUrl":"https://doi.org/10.28951/rbb.v38i2.440","url":null,"abstract":"§ ABSTRACT: The magnitude of the variation coefficient (CV) is insufficient to validate the quality of the experiment, regardless of the number of treatments, repetitions and effect of treatments. The objective was to develop a new approach to the study of coefficient of variation, as well as evaluations of these nuances with applicability in new scientific research. The study was conducted via computer simulation. The replicates (r) ranged from 2, 3, 4, 5, 10 to 20. The treatment number (t) ranged from t 5, 10, 15, 20, 25 and 30. In each of these combined scenarios we have the variation of 25 different CVs, ranging from 1, 3, 5, 7, ..., 49 to 51 %. It was imposed the variation of 11 treatment effects 0, 240, 480, 720, ..., 2000, 2400 kg ha-1, totaling 9,900.00 scenarios. The type I error is statistically invariant in the scenarios studied. With high treatment effect the CV has no implications on the power of the test (1-β). The results obtained in this research reveal that experiments with a high percentage of CV are sufficient to obtain high probabilities of the power of the F test, which do not compromise the complementary analyzes.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78945732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christofer Roque Ribeiro Silva, A. Almeida, R. N. Cardoso, R. Takahashi
This work proposes a version of the Individual-Based Model (IBM) that converges, on average, to the result of the SIR (Susceptible-Infected-Recovered) model, and studies the effect of this IBM in two types of networks: random and scale-free. A numerical computational case study is considered, using large scale networks implemented by an efficient framework. Statistical tests are performed to show the similarities and differences between the network models and the deterministic model taken as a baseline. Simulation results verify that different network topologies alter the behavior of the epidemic propagation in the following aspects: temporal evolution, basal reproducibility and the number of infected in the final.
{"title":"EPIDEMIC INDIVIDUAL-BASED MODELS APPLIED IN RANDOM AND SCALE-FREE NETWORKS","authors":"Christofer Roque Ribeiro Silva, A. Almeida, R. N. Cardoso, R. Takahashi","doi":"10.28951/rbb.v38i1.421","DOIUrl":"https://doi.org/10.28951/rbb.v38i1.421","url":null,"abstract":"This work proposes a version of the Individual-Based Model (IBM) that converges, on average, to the result of the SIR (Susceptible-Infected-Recovered) model, and studies the effect of this IBM in two types of networks: random and scale-free. A numerical computational case study is considered, using large scale networks implemented by an efficient framework. Statistical tests are performed to show the similarities and differences between the network models and the deterministic model taken as a baseline. Simulation results verify that different network topologies alter the behavior of the epidemic propagation in the following aspects: temporal evolution, basal reproducibility and the number of infected in the final.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84147335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Vigas, D. Volpi, F. V. Alves, G. O. Silva, E. Saraiva
The bioacoustic method is an important tool for the identification of the ingestive behavior of ruminants, especially in extensive production systems. This is mainly due to its potential to solve the deficiencies presented by the usual method, which is based on the visual observation of the animals. In this article, we present a study whose main objective is to evaluate the accuracy of the bioacoustic method over the visual method to record the macroactivity of grazing cattle ingestive behavior. The comparison of the methods is made in terms of a multivariate statistical approach based on the use of Hotelling’s T 2 test. To verify the test performance in comparing the methods, we developed a simulation study using a resampling approach. The results show that the bioacoustic method can be an effective alternative to the visual method, with the advantage of being a noninvasive method that also allows the analysis of the micro events of ingestive behavior.
{"title":"AN APPLICATION OF HOTELLING’S T2 TEST FOR THE COMPARISON OF THE VISUAL-ACOUSTIC METHOD IN THE IDENTIFICATION OF INGESTIVE CATTLE BEHAVIOR","authors":"V. Vigas, D. Volpi, F. V. Alves, G. O. Silva, E. Saraiva","doi":"10.28951/rbb.v38i1.431","DOIUrl":"https://doi.org/10.28951/rbb.v38i1.431","url":null,"abstract":"The bioacoustic method is an important tool for the identification of the ingestive behavior of ruminants, especially in extensive production systems. This is mainly due to its potential to solve the deficiencies presented by the usual method, which is based on the visual observation of the animals. In this article, we present a study whose main objective is to evaluate the accuracy of the bioacoustic method over the visual method to record the macroactivity of grazing cattle ingestive behavior. The comparison of the methods is made in terms of a multivariate statistical approach based on the use of Hotelling’s T 2 test. To verify the test performance in comparing the methods, we developed a simulation study using a resampling approach. The results show that the bioacoustic method can be an effective alternative to the visual method, with the advantage of being a noninvasive method that also allows the analysis of the micro events of ingestive behavior.","PeriodicalId":36293,"journal":{"name":"Revista Brasileira de Biometria","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86579909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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