===== Éder David Borges da Silva ===== * Graduado em Engenharia Agronômica - [[http://www.agronomia.ufpr.br|Eng Agronômica - UFPR]] * **e-mail:** ederdbs@gmail.com / eder@leg.ufpr.br * [[http://lattes.cnpq.br/0396395329182808 |Currículo LATTES]] * [[http://www.leg.ufpr.br/~eder|Arquivos]] ===== Área de Interesse ===== * Estatística Experimental * Estatística Espacial * [[http://www.leg.ufpr.br/doku.php/projetos:gem2|GEM²]] Grupo de estudos em modelos mistos * {{:pessoais:inlarrblup.r|GWS}} Seleção Genômica Ampla Via ML REML INLA * {{:pessoais:reml_inla.r|Script}} Modelo seleção Genótipo ambiente via REML ML INLA * {{:pessoais:linearregression.rnw|Script}} Regressão Linear - inferência via Mínimos quadrados, ML, REML, Gibbs, Metropolis, INLA, dclone ... (Em construção) * {{:pessoais:rjmcmc.r|RJMCMC}} Reversible Jump MCMC Regressão Linear ===== Artigos de Interesse ===== * {{http://www.sciencedirect.com/science/article/pii/S0022030278835905|Simulation of Examine Distributions of Estimators of Variances and Ratios of Variances}} * {{http://www.jstor.org/stable/3001853|Estimation of Variance and Covariance Components}} * {{http://www.sciencedirect.com/science/article/pii/S0022030291786013|C. R. Henderson: Contributions to Predicting Genetic Merit}} * {{http://www.sciencedirect.com/science/article/pii/S002203027584776X|Rapid Method for Computing the Inverse of a Relationship Matrix}} * {{http://www.jstor.org/stable/2527669?seq=18|The Estimation of Environmental and Genetic Trends from Records Subject to Culling}} * {{http://download.journals.elsevierhealth.com/pdfs/journals/0022-0302/PIIS002203027584776X.pdf|Rapid Method for Computing the Inverse of a Relationship Matrix}} * {{http://www.jstor.org/pss/2529339|A simple method for computing the inverse of a numerator relationship matrix used in prediction of breeding values}} * {{http://www.jstor.org/stable/2529430?&Search=yes&searchText=%22C.+R.+Henderson%22&list=hide&searchUri=%2Faction%2FdoBasicSearch%3FQuery%3Dau%253A%2522C.%2BR.%2BHenderson%2522%26wc%3Don&prevSearch=&item=3&ttl=373&returnArticleService=showFullText|Best Linear Unbiased Estimation and Prediction under a Selection Model}} * {{http://www.jstor.org/stable/2530609?&Search=yes&searchText=%22C.+R.+Henderson%22&list=hide&searchUri=%2Faction%2FdoBasicSearch%3FQuery%3Dau%253A%2522C.%2BR.%2BHenderson%2522%26wc%3Don&prevSearch=&item=5&ttl=373&returnArticleService=showFullText|Variance-Covariance Matrix of Estimators of Variances in Unweighted Means ANOVA}} * {{http://www.jstor.org/stable/3001853?&Search=yes&searchText=%22C.+R.+Henderson%22&list=hide&searchUri=%2Faction%2FdoBasicSearch%3FQuery%3Dau%253A%2522C.%2BR.%2BHenderson%2522%26wc%3Don&prevSearch=&item=2&ttl=373&returnArticleService=showFullText| Estimation of Variance and Covariance Components}} ===== Disciplinas 2011/1 ===== * [[http://www.leg.ufpr.br/doku.php/disciplinas:ce210-2010-02|CE-210: Inferência estatística II]] * [[http://www.leg.ufpr.br/doku.php/disciplinas:ce718|CE-718: Métodos Computacionalmente Intensivos]] ===== Minicursos ===== * [[http://www.leg.ufpr.br/ragronomia|Estatística Experimental com Software R]] * [[http://www.leg.ufpr.br/doku.php/pessoais:eder:planejamentofito|Planejamento de experimento PG Produção Vegetal UFPR]] * [[http://www.leg.ufpr.br/doku.php/pessoais:eder:exptempo| Análise de Experimentos de longa duração]] II Reunião Paranaense Ciência do Solo * [[http://www.leg.ufpr.br/doku.php/pessoais:eder:runicentro| Curso de Sofware R Analise Experimentos - UNICENTRO]] ===== Códigos (Em construção) ===== ##------------------------------------------------------------------### ###-----------------------------------------------------------------### ### Regressão Beta ### pacote oficial require(betareg) data("FoodExpenditure", package = "betareg") fe_beta <- betareg(I(food/income) ~ income + persons , data = FoodExpenditure) summary(fe_beta) ###-----------------------------------------------------------------### ### log vero da regressão beta com duas covariaveis, log.vero <- function(par,y,x1,x2){ mu <- exp((par[1] + par[2] * x1 + par[3] * x2))/(1+exp((par[1] + par[2] * x1 + par[3] * x2)))##logit^-1 ll <- sum(dbeta(y, mu* par[4], (1-mu)*par[4],log = TRUE)) return(ll) } ###-----------------------------------------------------------------### opt <- optim(c(B0=-0.5,B1=-0.51,B2=0.11,phi=35),log.vero,y=FoodExpenditure$food/FoodExpenditure$income, x1=FoodExpenditure$income, x2=FoodExpenditure$persons, hessian = TRUE, control=(list(fnscale=-1))) opt opt$par sqrt(-diag(solve(opt$hessian))) summary(fe_beta) ###-----------------------------------------------------------------### log.veroP <- function(par,phi,y,x1,x2){ mu <- exp((par[1] + par[2] * x1 + par[3] * x2))/(1+exp((par[1] + par[2] * x1 + par[3] * x2)))##logit^-1 ll <- sum(dbeta(y, mu* phi, (1-mu)*phi,log = TRUE)) return(ll) } opt <- grid.phi <- seq(20,60,l=150) con <- 1 for (i in grid.phi){ opt[con] <- optim(c(B0=-0.5,B1=-0.51,B2=0.11),log.veroP,phi=i,y=FoodExpenditure$food/FoodExpenditure$income, x1=FoodExpenditure$income, x2=FoodExpenditure$persons, hessian = TRUE, control=(list(fnscale=-1)))$value con <- con+1 } plot(grid.phi,2*(max(opt)-opt),type='l') abline(h=3.84) [[http://www.ime.usp.br/~sferrari/beta.pdf|Regressão beta]]