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| 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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| Huang, Kuo S.. |
| Forecasting food prices is an important component of the U.S. Department of Agricultureís short-term outlook and long-term baseline forecasting activities. A food price-forecasting model is developed by applying an inverse demand system, in which prices are functions of quantities of food use and income. Therefore, these quantity and income variables can be used as explanatory variables for food price changes. The empirical model provides an effective instrument for forecasting consumer price indexes of 16 food categories. |
| Tipo: Report |
Palavras-chave: Food price forecasts; Inverse demand system; Autoregressive model; Demand and Price Analysis. |
| Ano: 2000 |
URL: http://purl.umn.edu/33564 |
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| Silva,G.J.J.; Ushizima,M.R.; Lessa,P.S.; Cardoso,L.; Drager,L.F.; Atala,M.M.; Consolim-Colombo,F.M.; Lopes,H.F.; Cestari,I.A.; Krieger,J.E.; Krieger,E.M.. |
| The autonomic nervous system plays an important role in physiological and pathological conditions, and has been extensively evaluated by parametric and non-parametric spectral analysis. To compare the results obtained with fast Fourier transform (FFT) and the autoregressive (AR) method, we performed a comprehensive comparative study using data from humans and rats during pharmacological blockade (in rats), a postural test (in humans), and in the hypertensive state (in both humans and rats). Although postural hypotension in humans induced an increase in normalized low-frequency (LFnu) of systolic blood pressure, the increase in the ratio was detected only by AR. In rats, AR and FFT analysis did not agree for LFnu and high frequency (HFnu) under basal... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Fast Fourier transform; Autoregressive model; Hypertension; SHR; Pharmacological blockade; Tilt test. |
| Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2009000400012 |
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