Resumo

COELHO-BARROS, EMÍLIO AUGUSTO et al. Methods of Estimation in Multiple Linear Regression: Application to Clinical Data. Rev.Colomb.Estad. [online]. 2008, vol.31, n.1, pp.111-129. ISSN 0120-1751.

In this paper, we show different parameters estimation forms for multiple linear regression model. We used clinical data, where the interest was to verify the relationship among the mechanical assay maximum stress with femoral mass, femoral diameter and group of ovariectomized Wistar rats. We used three inference methods: Classic inference, based on the least square method; bayesian inference, based on the Bayes theorem; and bootstrap inference, based on resampling processes.

Palavras-chave : Multiple linear regression model; Least square method; Bayesian inference; Bootstrap inference.

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