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Analysis of variance --- Regression analysis --- Analyse de variance --- Analyse de régression --- Regression Analysis --- Analyse de régression

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In the first book that directly uses R to teach data analysis, Linear Models with R focuses on the practice of regression and analysis of variance. It clearly demonstrates the different methods available and more importantly, in which situations each one applies. It covers all of the standard topics, from the basics of estimation to missing data, factorial designs, and block designs, but it also includes discussion on topics, such as model uncertainty, rarely addressed in books of this type. The presentation incorporates an abundance of examples that clarify both the use of each technique and the conclusions one can draw from the results. All of the data sets used in the book are available for download from the Internet.

Méthode statistique --- Statistical methods --- Modèle --- Models --- Analysis of variance. --- Regression analysis. --- 519.538 --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Analysis of variance --- Regression analysis --- #PBIB:2005.4 --- 519.2 --- 681.3*G3 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Analyse de variance --- Analyse de régression --- Statistique mathématique --- Statistique mathématique --- Mathematical statistics. --- Modèles linéaires (statistique) --- Statistique mathematique --- Programmes informatiques