The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.... Stochastic Processes DUDEWICZ and MISHRA - Modern Mathematical Statistics EATON a#39; Multivariate Statistics: A Vector Space ... Volume II, Second Edition FULLER a#39; Introduction to Statistical Time Series FULLER a#39; Measurement Error Models GIFI - Nonlinear ... Route to Practical Robustness MUIRHEAD a#39; Aspects of Multivariate Statistical Theory OLIVER and SMITH a#39; Influence Diagrams, Belief Netsanbsp;...

Title | : | Fundamentals of Exploratory Analysis of Variance |

Author | : | David C. Hoaglin, Frederick Mosteller, John W. Tukey |

Publisher | : | John Wiley & Sons - 2009-09-25 |

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