02809nam 2200553 450 991079705060332120170822125601.00-7391-9981-1(CKB)3710000000386476(EBL)2002055(SSID)ssj0001457974(PQKBManifestationID)11790243(PQKBTitleCode)TC0001457974(PQKBWorkID)11441444(PQKB)10222790(MiAaPQ)EBC2002055(EXLCZ)99371000000038647620150416h20152015 uy 0engur|n|---|||||txtccrAgainst individualism a Confucian rethinking of the foundations of morality, politics, family, and religion /Henry Rosemont JrLanham, Maryland :Lexington Books,2015.©20151 online resource (209 p.)Philosophy and Cultural IdentityDescription based upon print version of record.0-7391-9982-X 0-7391-9980-3 Includes bibliographical references and index.Contents; Acknowledgments; Prologue; Chapter One: Prolegomena; Chapter Two: Doing Ethics in a Global Context; Chapter Three: On the Existence of the Individual Self, and Self-Identity; Chapter Four: Normative Dimensions of Belief in an Individual Self; Chapter Five: The Apotheosis of the Individual Self: Libertarianism; Chapter Six: Toward an Ethics of Roles; Chapter Seven: The Family and Family Values; Chapter Eight: On Religion and Ritual; Chapter Nine: The Religious Dimensions of Role-Bearing Family Lives; Chapter Ten: Role Ethics Beyond the Family; Epilogue; Bibliography; IndexAbout the AuthorLike a master musician's rendering of a piece of great classical music, Rosemont's lucid, comprehensive and convincing articulation of the relational, role-bearing person and its rich philosophical, social, political and religious implications is simply brilliant. It well showcases what is valuable both in the teachings of early Confucianism that is still largely underestimated or misunderstood, and is equally brilliant in its own right, making this book itself a milestone in the continuous unfolding of the significance of Confucianism in dialogue with each age and stream of thought. It is comPhilosophy and Cultural IdentityIndividualismConfucianismIndividualism.Confucianism.141/.4Rosemont Henry1934-977394MiAaPQMiAaPQMiAaPQBOOK9910797050603321Against individualism3793022UNINA05569nam 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