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	Provedor de dados Ciencia e Investigación Agraria (1) AgEcon (1) Autor Fuentealba,Claudia (1) Hernández,Ignacia (1) Newson, Roger (1) Pedreschi,Romina (1) Saavedra,Jorge (1) Palavra-chave Standard deviation (2) Algebraic mean (1) Alpha (1) Arithmetic mean (1) Avocados (1) Detectable difference (1) Detectable ratio (1) Generalized linear model (1) Geometric mean (1) Heterogeneity (1) Influence function (1) Multiple comparison (1) Odds (1) Power (1) Powercal (1) Proportion (1) Research Methods/ Statistical Methods (1) Ripening (1) Sample design (1) Sample number (1) Mais... Tipo do documento Journal Article (1) Journal article (1) Ano 2016 (1) 2004 (1) País Chile (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Generalized power calculations for generalized linear models and more AgEcon Newson, Roger. The powercal command can compute any one of the five quantities involved in power calculations from the other four. These quantities are power, significance level, detectable difference, sample number, and the standard deviation (SD) of the influence function, which is equal to the standard error multiplied by the square root of the sample number. powercal can take arbitrary expressions (involving constants, scalars, or variables) as input and calculate the output as a new variable. The user can therefore plot input variables against output variables, and this often communicates the tradeoffs involved better than a point calculation as output by the sampsi command. General formulas are given for calculating the SD of the influence function when the... Tipo: Journal Article Palavras-chave: Powercal; Power; Alpha; Significance level; Detectable difference; Detectable ratio; Sample number; Standard deviation; Influence function; Sample design; Generalized linear model; Proportion; Arithmetic mean; Algebraic mean; Geometric mean; Odds; Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/116258 A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses Ciencia e Investigación Agraria Fuentealba,Claudia; Pedreschi,Romina; Hernández,Ignacia; Saavedra,Jorge. C. Fuentealba, R. Pedreschi, I. Hernández, and J. Saavedra. 2016. A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses. Cien. Inv. Agr. 43(3):356-365. Hass avocado (Persea americana Mill.) is marketed worldwide. Due to its complex physiology, a wide variability in postharvest ripening can be observed, i.e., heterogeneity in the number of days to reach edible ripeness. There is a need for a simple and objective method for evaluating the efficacy of postharvest treatments in the reduction of this postharvest ripening heterogeneity given the high demand of import countries for consistent quality and product homogeneity. Therefore, the aim of this study was to compare the appropriateness of... Tipo: Journal article Palavras-chave: Avocados; Heterogeneity; Multiple comparison; Ripening; Standard deviation. Ano: 2016 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202016000300002 Registros recuperados: 2 Primeira ... 1 ... Última

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