Régression : Théorie et applications = Regression : Theory and Applications
Publication year: 2007
ISBN: 978-2-287-39693-9
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This book explains in detail, with supporting examples, one of the most common statistical methods: regression. The first chapters are devoted to simple and multiple linear regression. They explain the fundamentals of the method, both in terms of the choices made as well as the hypotheses and their usefulness. Then the tools are developed to verify the basic assumptions implemented by the regression. A simple presentation of the analysis of covariance and variance models is performed. Finally, the last chapters are devoted to the choice of models as well as to certain extensions of the regression.
Subject: Mathematics and Statistics / Statistical Theory and Methods / Statistics for Life Sciences, Medicine, Health Sciences / Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences / Statistics for Social Sciences, Humanities, Law / Statistics for Business, Management, Economics, Finance, Insurance / Analyse de la variance et de la covariance / Choix de variables / Modèle linéaire / Régression / Régression biaisée / Variance / Analysis of variance and covariance / Choice of variables / Linear model / Regression / Bias regression / Variance
