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Published by Springer-Verlag Gmbh Sep 2015, 2015
ISBN 10: 1493921215 ISBN 13: 9781493921218
Language: English
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Add to basketBuch. Condition: Neu. Neuware -This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze datäshowing code, graphics, and accompanying tabular listings¿for all the methods they cover. Complete R scripts for all examples and figures are provided for readers to use as models for their own analyses.This book can serve as a standalone text for statistics majors at the master¿s level and for other quantitatively oriented disciplines at the doctoral level, and as a reference book for researchers. Classical concepts and techniques are illustrated with a variety of case studies using both newer graphical tools and traditional tabular displays.New graphical material includes:an expanded chapter on graphicsa section on graphing Likert Scale Data to build on the importance of rating scales in fields from population studies to psychometricsa discussion on design of graphics that will work for readers with color-deficient visionan expanded discussion on the design of multi-panel graphicsexpanded and new sections in the discrete bivariate statistics capter on the use of mosaic plots for contingency tables including the n×2×2 tables for which the Mantel¿Haenszel¿Cochran test is appropriatean interactive (using the shiny package) presentation of the graphics for the normal and t-tables that is introduced early and used in many chaptersSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 898 pp. Englisch.
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Add to basketHardcover. Condition: Brand New. 2nd ed. 2015 edition. 898 pages. 9.25x6.25x2.25 inches. In Stock.
Published by Springer-Verlag Gmbh, 2015
ISBN 10: 1493921215 ISBN 13: 9781493921218
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This contemporary presentation of statistical methods featuresextensive use of graphical displays for exploring data and fordisplaying the analysis. The authors demonstrate how to analyzedata-showing code, graphics, and accompanying tabular listings-forall the methods they cover. Complete R scripts for all examplesand figures are provided for readers to use as models for their ownanalyses.This book can serve as a standalone text for statistics majors at themaster's level and for other quantitatively oriented disciplines atthe doctoral level, and as a reference book for researchers. Classical concepts andtechniques are illustrated with a variety of case studies using both newer graphicaltools and traditional tabular displays.New graphical material includes:an expanded chapter on graphicsa section on graphing Likert Scale Data to build on the importance ofrating scales in fields from population studies to psychometricsa discussion on design of graphics that will work for readers withcolor-deficient visionan expanded discussion on the design of multi-panel graphicsexpanded and new sections in the discrete bivariate statistics capteron the use of mosaic plots for contingency tables including the n×2×2tables for which the Mantel-Haenszel-Cochran test is appropriatean interactive (using the shiny package) presentation of the graphicsfor the normal and t-tables that is introduced early and used in manychapters.