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Design and analysis of experiments: classical and regression approaches with SAS
<b> Introductory Statistical Inference and Regression Analysis </b> <br>Elementary Statistical Inference <br>Regression Analysis <br><b>Experiments, the Completely Randomized Design (CRD)-Classical and Regression Approaches </b> <br>Experiments...
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Lenguaje: | eng |
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CRC Press
2008
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Acceso en línea: | http://cds.cern.ch/record/2122906 |
Sumario: | <b> Introductory Statistical Inference and Regression Analysis </b> <br>Elementary Statistical Inference <br>Regression Analysis <br><b>Experiments, the Completely Randomized Design (CRD)-Classical and Regression Approaches </b> <br>Experiments <br>Experiments to Compare Treatments <br>Some Basic Ideas <br>Requirements of a Good Experiment <br>One-Way Experimental Layout or the CRD: Design and Analysis <br>Analysis of Experimental Data (Fixed Effects Model) <br>Expected Values for the Sums of Squares <br>The Analysis of Variance (ANOVA) Table <br>Follow-Up Analysis to Check fo |
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