01306nam 2200337 n 450 99638751640331620221108025718.0(CKB)1000000000624367(EEBO)2248496206(UnM)99854157(EXLCZ)99100000000062436719920714d1631 uy |engurbn||||a|bb|A discourse of the religion anciently professed by the Irish and Brittish. By Iames Vssher Archbishop of Armagh, and Primate of Ireland[electronic resource]London Printed by R[obert] Y[oung] for the Partners of the Irish Stocke1631[8], 133, [11] pPrinter's name from STC.Running title reads: Of the religion professed by the ancient Irish.Usually found as part 4 of STC 24544 or 24544.5.Reproduction of the original in Yale University. Library.eebo-0198Ussher James1581-1656.744208Cu-RivESCu-RivESCStRLINWaOLNBOOK996387516403316A discourse of the religion anciently professed by the Irish and Brittish. By Iames Vssher Archbishop of Armagh, and Primate of Ireland2359042UNISA05569nam 2200733Ia 450 991014469360332120200520144314.09786612307775978128230777312823077709780470316832047031683797804703176620470317663(CKB)1000000000687564(EBL)468776(SSID)ssj0000337968(PQKBManifestationID)11929337(PQKBTitleCode)TC0000337968(PQKBWorkID)10294368(PQKB)11052668(MiAaPQ)EBC468776(PPN)159341159(OCoLC)264615249(Perlego)2768321(EXLCZ)99100000000068756419910207d1991 uy 0engur|n|---|||||txtccrFundamentals of exploratory analysis of variance /edited by David C. Hoaglin, Frederick Mosteller, John W. TukeyNew York Wileyc19911 online resource (456 p.)Wiley series in probability and mathematical statistics. Applied probability and statisticsDescription based upon print version of record.9780471527350 0471527351 Includes bibliographical references and index.Fundamentals of Exploratory Analysis of Variance; Contents; 1. Concepts and Examples in Analysis of Variance; 1A. Interaction in ANOVA; 1B. A Graphical Analysis of a Complex Experiment on the Hardness of Dental Gold; 1C. An Election Example; 1D. Why Main Effects and Interactions?; Exercises; 2. Purposes of Analyzing Data that Come in a Form Inviting Us to Apply Tools from the Analysis of Variance; 2A. Purposes Can Be Both Diverse and Unfamiliar; 2B. A Quantitative Microcosm; 2C. More Classic Purposes; 2D. Causation, Experimentation, and Observation; 2E. Summary; Exercises3. Preliminary Examination of Data3A. Editing; 3B. Appreciating the Data; 3C. Plots of the Data; 3D. Boxplots; 3E. Stem-and-Leaf Displays; 4. Types of Factors and Their Structural Layouts; 4A. Types of Factors; 4B. Relationships Between Factors; 4C. One-way and Two-way Layouts; 4D. Three-Way and More-Way Layouts; 4E. Summary; Exercises; 5. Value-Splitting: Taking the Data Apart; 5A. Forming Overlays; 5B. Overlays for One-way Data; 5C. What the Residuals Tell Us; 5D. Comparing Overlays: An ANOVA Table; 5E. Designs with Two Crossed Factors; 5F. Interaction and Replication5G. Two-Factor Designs with Replication5H. Two-Factor Data with Nesting; 5I. Other Descriptions; 5J. Summary; Exercises; 6. Value Splitting Involving More Factors; 6A. Three Crossed Factors; 6B. Four Crossed Factors; 6C. Latin Square Designs; 6D. Summary; Exercises; 7. Mean Squares, F Tests, and Estimates of Variance; 7A. Formal Inferences: The F Test; 7B. Broadening the Base for the F Test; 7C. (Optional) Note on the Relation of the Pitman-Welch Work to an Ordinary F Distribution; 7D. Confidence Intervals for u2 Under Ideal Conditions; 7E. Sensitivity to the Assumption of NormalityExercises8. Graphical Display as an Aid to Analysis; 8A. An Overview of Graphical Methods for One-way ANOVA; 8B. Graphical Display for Two-Factor Data; 8C. A Side-by-Side Plot Attuned to Mean Squares; 8D. A Detailed Example: Percentage of Americans Who Have Never Married; 8E. Patterns or Noise?; 8F. Exploring Residuals Graphically; 8G. Summary; Exercises; 9. Components of Variance; 9A. Structures Leading to Components in One-way Analysis of Variance; 9B. Example: Variance Components for Blood Pressure; 9C. Alternative Methods for Estimating Variance Components9D. Confidence Intervals for Variance Components9E. Unbalanced Cases ( Expected-Mean-Square Method); 9F. Two-way Tables; 9G. Example: Nationalization of Electoral Forces; 9H. Summary; Exercises; 10. Which Denominator?; 10A. Analyzing the Structure; 10B. The Sampling or Pigeonhole Model; 10C. The Notion of "Above"; 10D. Three-Way Special Cases; 10E. Constructing an Appropriate Error Term; 10F. Estimation of Variance Components in a Two-way Analysis of Variance by Equating Average Values; 10G. An Alternative Model for Interaction in Two-way Analysis of Variance10H. A Three-Way Example: Tumor SizeThe 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.Wiley Series in Probability and StatisticsAnalysis of varianceMathematical statisticsAnalysis of variance.Mathematical statistics.519.5519.538Hoaglin David C(David Caster),1944-101864Mosteller Frederick1916-2006.45482Tukey John W(John Wilder),1915-2000.101780MiAaPQMiAaPQMiAaPQBOOK9910144693603321Fundamentals of exploratory analysis of variance2171213UNINA