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	Provedor de dados Scientia Agricola (1) R. Bras. Zootec. (1) Autor Arboitte,Miguelangelo Ziegler (1) Kozak,Marcin (1) Oliveira,Thamyres Martino Liñares de (1) Pacheco,Paulo Santana (1) Pascoal,Leonir Luiz (1) Restle,João (1) Santos,João Paulo Aquino (1) Vaz,Fabiano Nunes (1) Vaz,Ricardo Zambarda (1) Mais... Palavra-chave Non-parametric statistics (2) Analysis of variance (1) Assumptions (1) Graphical statistics (1) Investment analysis (1) Investment project (1) Monte Carlo simulation (1) Multiple comparisons (1) Normal distribution (1) One-way designs (1) Probabilistic analysis (1) Production of young steers (1) Statistical analysis (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2014 (1) 2009 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Risk assessment of finishing beef cattle in feedlot: slaughter weights and correlation amongst input variables R. Bras. Zootec. Pacheco,Paulo Santana; Pascoal,Leonir Luiz; Restle,João; Vaz,Fabiano Nunes; Arboitte,Miguelangelo Ziegler; Vaz,Ricardo Zambarda; Santos,João Paulo Aquino; Oliveira,Thamyres Martino Liñares de. The objective of this study was to evaluate the risk associated with finishing crossbred Charolais × Nellore steers in feedlot at different slaughter weights (425, 467 or 510 kg), considering or disregarding the correlation amongst random input variables. Data were collected from 2004 to 2010 and used in the simulation of the financial indicator Net Present Value (NPV). Animals slaughtered with 425, 467 or 510 kg were fed diets containing a roughage:concentrate ratio of 60:40 for 30, 65 and 94 days, respectively. In the simulation of NPV, a Latin Hypercube type of sampling was used, running 2000 interactions. An analysis of stochastic dominance of first and second orders was carried out as well as the Kolmogorov-Smirnov asymptotic test (to check for... Tipo: Info:eu-repo/semantics/article Palavras-chave: Investment analysis; Investment project; Non-parametric statistics; Production of young steers; Probabilistic analysis; Monte Carlo simulation. Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982014000200007 Analyzing one-way experiments: a piece of cake of a pain in the neck? Scientia Agricola Kozak,Marcin. Statistics may be intricate. In practical data analysis many researchers stick to the most common methods, not even trying to find out whether these methods are appropriate for their data and whether other methods might be more useful. In this paper I attempt to show that when analyzing even simple one-way factorial experiments, a lot of issues need to be considered. A classical method to analyze such data is the analysis of variance, quite likely the most often used statistical method in agricultural, biological, ecological and environmental studies. I suspect this is why this method is quite often applied inappropriately: since the method is that common, it does not require too much consideration-this is how some may think. An incorrect analysis may... Tipo: Info:eu-repo/semantics/article Palavras-chave: Analysis of variance; Assumptions; Graphical statistics; Multiple comparisons; Normal distribution; Non-parametric statistics; One-way designs; Statistical analysis. Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000400020 Registros recuperados: 2 Primeira ... 1 ... Última

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