Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quails

Detalhes bibliográficos
Autor(a) principal: Sant’ Anna, Antonio Augusto Carvas
Data de Publicação: 2021
Outros Autores: Pereira, Jacyara Lopes, Abreu, Matheus Lima Corrêa, Moura, Adolpho Marlon Antoniol de, Aniceto, Elon Souza, Motta, Jonas Henrique, Glória, Leonardo Siqueira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/19317
Resumo: The goal of our study was to evaluate the quality of fit from different types of probability distributions for continuous data. For this, performance traits and quality of quail egg in the production of nutraceutical eggs were used as a continuous data source. The data were collected over 42 days, the experimental design was completely randomized with 7 treatments, 6 repetitions, with 252 animals allocated in 36 cages. The distributions for continuous data used were the exponential, gamma, gaussian, and lognormal. The R Open Source and SAS® University Edition software was used to perform the analysis. The graphical analysis of the traits was performed from the predicted versus observed values, Cumulative Distribution Function (CDF), and skewness-kurtosis. The fits were also evaluated by the Akaike information criterion (AIC), Bayesian information criterion (BIC), Conditional model of adjusted R-Square (), Conditional model of adjusted concordance correlation (), Kolmogorov-Smirnov test (KS), Cramer-von Mises test (CvM), Anderson-Darling test (AD), Watanabe-Akaike Information Criterion (WAIC) and Leave-one-out cross-validation (LOO). All the tests indicated the Gaussian distribution as the most suitable and they excluded the exponential distribution for all the evaluated characteristics.
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spelling Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quailsTécnicas de calidad de ajuste de modelos estadísticos con evaluación de distribuciones de probabilidad utilizando datos de producción de codornices ponedorasTécnicas de qualidade de ajuste de modelos estatísticos com avaliação de distribuições de probabilidade utilizando dados de produção de codornas poedeirasProdução animalDistribuição contínua de dadosAnálise estatísticaModelo linear generalizado mistoTeste de ajusteSoftware estatístico.Animal productionDistribution continuous dataGeneralized linear mixed modelTest of fitStatistical analysisStatistical software.Producción animalDistribución de datos continuosAnálisis estadísticoModelo lineal mixto generalizadoPrueba de ajusteSoftware estadístico.The goal of our study was to evaluate the quality of fit from different types of probability distributions for continuous data. For this, performance traits and quality of quail egg in the production of nutraceutical eggs were used as a continuous data source. The data were collected over 42 days, the experimental design was completely randomized with 7 treatments, 6 repetitions, with 252 animals allocated in 36 cages. The distributions for continuous data used were the exponential, gamma, gaussian, and lognormal. The R Open Source and SAS® University Edition software was used to perform the analysis. The graphical analysis of the traits was performed from the predicted versus observed values, Cumulative Distribution Function (CDF), and skewness-kurtosis. The fits were also evaluated by the Akaike information criterion (AIC), Bayesian information criterion (BIC), Conditional model of adjusted R-Square (), Conditional model of adjusted concordance correlation (), Kolmogorov-Smirnov test (KS), Cramer-von Mises test (CvM), Anderson-Darling test (AD), Watanabe-Akaike Information Criterion (WAIC) and Leave-one-out cross-validation (LOO). All the tests indicated the Gaussian distribution as the most suitable and they excluded the exponential distribution for all the evaluated characteristics.El objetivo de nuestro estudio fue evaluar la calidad del ajuste de diferentes tipos de distribuciones de probabilidad para datos continuos. Para ello, se utilizaron como fuente continua de datos las variables rendimiento y calidad del huevo de codorniz en la producción de huevos nutracéuticos. Los datos fueron recolectados durante 42 días, el diseño experimental fue completamente al azar con 7 tratamientos, 6 repeticiones, con 252 animales distribuidos en 36 jaulas. Las distribuciones para los datos continuos utilizadas fueron exponencial, gamma, gaussiana y lognormal. Se utilizó el software R Open Source y SAS® University Edition para realizar el análisis. El análisis gráfico de las variables se realizó a partir de los valores predichos versus los observados, la Función de Distribución Acumulativa (CDF) y la asimetría-curtosis. Los ajustes también se evaluaron mediante el criterio de información de Akaike (AIC), el criterio de información bayesiano (BIC), el modelo condicional de R-Cuadrado ajustado (), el modelo condicional de correlación de concordancia ajustada (), la prueba de Kolmogorov-Smirnov (KS), Prueba de Cramer-von Mises (CvM), prueba de Anderson-Darling (AD), criterio de información de Watanabe-Akaike (WAIC) y validación cruzada de dejar uno fuera (LOO). Todas las pruebas indicaron la distribución gaussiana como la más adecuada y excluyeron la distribución exponencial para todas las características evaluadas.O objetivo do nosso estudo foi avaliar a qualidade do ajuste de diferentes tipos de distribuições de probabilidade para dados contínuos. Para tanto, as variáveis desempenho e qualidade do ovo de codorna na produção de ovos nutracêuticos foram utilizadas como fonte contínua de dados. Os dados foram coletados ao longo de 42 dias, o delineamento experimental foi inteiramente casualizado com 7 tratamentos, 6 repetições, com 252 animais alocados em 36 gaiolas. As distribuições de dados contínuos usadas foram a exponencial, gama, gaussiana e lognormal. Os softwares R Open Source e SAS® University Edition foram usados para realizar a análise. A análise gráfica das variáveis foi realizada a partir dos valores previstos versus observados, Função de Distribuição Cumulativa (CDF) e assimetria-curtose. Os ajustes também foram avaliados pelo critério de informação de Akaike (AIC), critério de informação Bayesiano (BIC), modelo condicional de R-quadrado ajustado (), modelo condicional de correlação de concordância ajustada (), teste de Kolmogorov-Smirnov (KS), Teste de Cramer-von Mises (CvM), teste de Anderson-Darling (AD), Critério de informação Watanabe-Akaike (WAIC) e validação cruzada de deixar um de fora (LOO). Todos os testes indicaram a distribuição gaussiana como a mais adequada e excluíram a distribuição exponencial para todas as características avaliadas.Research, Society and Development2021-08-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1931710.33448/rsd-v10i11.19317Research, Society and Development; Vol. 10 No. 11; e278101119317Research, Society and Development; Vol. 10 Núm. 11; e278101119317Research, Society and Development; v. 10 n. 11; e2781011193172525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/19317/17523Copyright (c) 2021 Antonio Augusto Carvas Sant’ Anna; Jacyara Lopes Pereira; Matheus Lima Corrêa Abreu; Adolpho Marlon Antoniol de Moura; Elon Souza Aniceto; Jonas Henrique Motta; Leonardo Siqueira Glóriahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSant’ Anna, Antonio Augusto Carvas Pereira, Jacyara Lopes Abreu, Matheus Lima Corrêa Moura, Adolpho Marlon Antoniol de Aniceto, Elon Souza Motta, Jonas HenriqueGlória, Leonardo Siqueira 2021-10-23T19:01:11Zoai:ojs.pkp.sfu.ca:article/19317Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:39:14.075938Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quails
Técnicas de calidad de ajuste de modelos estadísticos con evaluación de distribuciones de probabilidad utilizando datos de producción de codornices ponedoras
Técnicas de qualidade de ajuste de modelos estatísticos com avaliação de distribuições de probabilidade utilizando dados de produção de codornas poedeiras
title Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quails
spellingShingle Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quails
Sant’ Anna, Antonio Augusto Carvas
Produção animal
Distribuição contínua de dados
Análise estatística
Modelo linear generalizado misto
Teste de ajuste
Software estatístico.
Animal production
Distribution continuous data
Generalized linear mixed model
Test of fit
Statistical analysis
Statistical software.
Producción animal
Distribución de datos continuos
Análisis estadístico
Modelo lineal mixto generalizado
Prueba de ajuste
Software estadístico.
title_short Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quails
title_full Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quails
title_fullStr Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quails
title_full_unstemmed Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quails
title_sort Techniques of quality of adjustment of statistical models with evaluation of probability distributions using production data of laying quails
author Sant’ Anna, Antonio Augusto Carvas
author_facet Sant’ Anna, Antonio Augusto Carvas
Pereira, Jacyara Lopes
Abreu, Matheus Lima Corrêa
Moura, Adolpho Marlon Antoniol de
Aniceto, Elon Souza
Motta, Jonas Henrique
Glória, Leonardo Siqueira
author_role author
author2 Pereira, Jacyara Lopes
Abreu, Matheus Lima Corrêa
Moura, Adolpho Marlon Antoniol de
Aniceto, Elon Souza
Motta, Jonas Henrique
Glória, Leonardo Siqueira
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Sant’ Anna, Antonio Augusto Carvas
Pereira, Jacyara Lopes
Abreu, Matheus Lima Corrêa
Moura, Adolpho Marlon Antoniol de
Aniceto, Elon Souza
Motta, Jonas Henrique
Glória, Leonardo Siqueira
dc.subject.por.fl_str_mv Produção animal
Distribuição contínua de dados
Análise estatística
Modelo linear generalizado misto
Teste de ajuste
Software estatístico.
Animal production
Distribution continuous data
Generalized linear mixed model
Test of fit
Statistical analysis
Statistical software.
Producción animal
Distribución de datos continuos
Análisis estadístico
Modelo lineal mixto generalizado
Prueba de ajuste
Software estadístico.
topic Produção animal
Distribuição contínua de dados
Análise estatística
Modelo linear generalizado misto
Teste de ajuste
Software estatístico.
Animal production
Distribution continuous data
Generalized linear mixed model
Test of fit
Statistical analysis
Statistical software.
Producción animal
Distribución de datos continuos
Análisis estadístico
Modelo lineal mixto generalizado
Prueba de ajuste
Software estadístico.
description The goal of our study was to evaluate the quality of fit from different types of probability distributions for continuous data. For this, performance traits and quality of quail egg in the production of nutraceutical eggs were used as a continuous data source. The data were collected over 42 days, the experimental design was completely randomized with 7 treatments, 6 repetitions, with 252 animals allocated in 36 cages. The distributions for continuous data used were the exponential, gamma, gaussian, and lognormal. The R Open Source and SAS® University Edition software was used to perform the analysis. The graphical analysis of the traits was performed from the predicted versus observed values, Cumulative Distribution Function (CDF), and skewness-kurtosis. The fits were also evaluated by the Akaike information criterion (AIC), Bayesian information criterion (BIC), Conditional model of adjusted R-Square (), Conditional model of adjusted concordance correlation (), Kolmogorov-Smirnov test (KS), Cramer-von Mises test (CvM), Anderson-Darling test (AD), Watanabe-Akaike Information Criterion (WAIC) and Leave-one-out cross-validation (LOO). All the tests indicated the Gaussian distribution as the most suitable and they excluded the exponential distribution for all the evaluated characteristics.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-31
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/19317
10.33448/rsd-v10i11.19317
url https://rsdjournal.org/index.php/rsd/article/view/19317
identifier_str_mv 10.33448/rsd-v10i11.19317
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/19317/17523
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 11; e278101119317
Research, Society and Development; Vol. 10 Núm. 11; e278101119317
Research, Society and Development; v. 10 n. 11; e278101119317
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052754336677888

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