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Adjustment of growth models in broiler chickens PAB
Demuner,Leandro Félix; Suckeveris,Diana; Muñoz,Julian Andrés; Caetano,Vinicius Camargo; Lima,Cesar Gonçalves de; Faria Filho,Daniel Emygdio de; Faria,Douglas Emygdio de.
Abstract: The objective of this work was to investigate adjustments of the Gompertz, Logistic, von Bertalanffy, and Richards growth models, in male and female chickens of the Cobb 500, Ross 308, and Hubbard Flex lines. Initially, 1,800 chickens were randomly housed in 36 pens, with six replicates per lineage and sex, fed ad libitum with feed according to gender, and bred until 56 days of age. Average weekly body weight for each line and sex was used to estimate model parameters using the ordinary least squares, weighted by the inverse variance of the body weight and weighted with a first-order autocorrelated error structure. Weighted models and weighted autocorrelated error models showed different parameter values when compared with the unweighted models,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Autocorrelated errors; Autoregressive model; Poultry science; Homogeneity of variance; Mathematical model; Weighting structures.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017001201241
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Fitting nonlinear autoregressive models to describe coffee seed germination Ciência Rural
Sousa,Iábita Fabiana; Kunzle Neto,Johan Eugen; Muniz,Joel Augusto; Guimarães,Renato Mendes; Savian,Taciana Villela; Muniz,Fabiana Rezende.
Cumulative germination of coffee has a longitudinal behavior mathematically characterized by a sigmoidal model. In the seed germination evaluation, the study of the germination curve may contribute to better understanding of this process. The aim of this study was to evaluate the goodness of fit of Logistic and Gompertz models, with independent and first-order autoregressive errors structure, AR (1), in the description of coffee (Coffea arabica L.) line Catuai vermelho IAC 99 germination, at five different potential germination. The data used were from an experiment conducted in 2011 at the Seed Analysis Laboratory of the Federal University of Lavras. The Logistic and Gompertz nonlinear models were appropriately adjusted to the percentage germination data....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Growth models; Autocorrelated errors; Nonlinear regression; Germination potential; Regression and correlation.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782014001102016
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Maximum simulated likelihood estimation of random–effects dynamic probit models with autocorrelated errors AgEcon
Stewart, Mark B..
This paper investigates using maximum simulated likelihood (MSL) estimation for random-effects dynamic probit models with autocorrelated errors. It presents and illustrates a new Stata command, redpace, for this estimator. The paper also compares using pseudorandom numbers and Halton sequences of quasirandom numbers for MSL estimation of these models.
Tipo: Journal Article Palavras-chave: Redpace; Simulation estimation; Maximum simulated likelihood; Halton sequences; Autocorrelated errors; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117576
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