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	Provedor de dados Ciencia e Investigación Agraria (1) AgEcon (1) Autor Pérez,Jorge A (1) Royston, Patrick (1) Sauerbrei, Willi (1) Palavra-chave Multivariable analysis (2) Choice of scale (1) Cluster analysis (1) Colony forming units (1) Continuous predictor (1) Fat percentage (1) Goodness of fit (1) Main components analysis (1) Model building (1) Mvrs (1) Protein percentage (1) Regression spline (1) Research Methods/ Statistical Methods (1) Somatic cell (1) Splinegen (1) Uvrs (1) Mais... Tipo do documento Article (1) Journal article (1) Ano 2011 (1) 2007 (1) País Chile (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Production systems, technical parameters and quality of bovine milk producers in southern Chile Ciencia e Investigación Agraria Pérez,Jorge A. Production information of 29 milk producers in the southern region of Chile was studied with the objective of characterizing and classifying different dairy production systems, evaluating various associations between quantitative and qualitative studied variables and analyzing the effect of the production system and the quality of bovine milk according to the month of the year that it was processed. The classification of production groups was based on the implementation of the exploratory multivariate technique, main components analysis and conglomerates or cluster analysis. The applied statistical model was: y ijk = µ + Mi + SPj + MSPij + e ijk, where y ijk=dependent variables (fat, protein, count of somatic cells and colony forming units); µ=general... Tipo: Journal article Palavras-chave: Cluster analysis; Colony forming units; Fat percentage; Main components analysis; Multivariable analysis; Protein percentage; Somatic cell. Ano: 2011 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202011000100002 Multivariable modeling with cubic regression splines: A principled approach AgEcon Royston, Patrick; Sauerbrei, Willi. Spline functions provide a useful and flexible basis for modeling relationships with continuous predictors. However, to limit instability and provide sensible regression models in the multivariable setting, a principled approach to model selection and function estimation is important. Here the multivariable fractional polynomials approach to model building is transferred to regression splines. The essential features are specifying a maximum acceptable complexity for each continuous function and applying a closed-test approach to each continuous predictor to simplify the model where possible. Important adjuncts are an initial choice of scale for continuous predictors (linear or logarithmic), which often helps one to generate realistic, parsimonious final... Tipo: Article Palavras-chave: Mvrs; Uvrs; Splinegen; Multivariable analysis; Continuous predictor; Regression spline; Model building; Goodness of fit; Choice of scale; Research Methods/ Statistical Methods. Ano: 2007 URL: http://purl.umn.edu/119254 Registros recuperados: 2 Primeira ... 1 ... Última

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