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Verlag: Springer New York, Springer US Mär 2019, 2019
ISBN 10: 149397968X ISBN 13: 9781493979684
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: 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 932 pp. Englisch.
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In den WarenkorbZustand: New. pp. 756 Illus.
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Verlag: Springer New York, Springer New York, 2019
ISBN 10: 149397968X ISBN 13: 9781493979684
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: 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.
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In den WarenkorbZustand: New. pp. 756.
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In den WarenkorbHardcover. Zustand: Brand New. 2nd ed. 2015 edition. 898 pages. 9.25x6.25x2.25 inches. In Stock.
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In den WarenkorbZustand: New. pp. 756.
Verlag: Springer New York, Springer US Nov 2010, 2010
ISBN 10: 1441923209 ISBN 13: 9781441923202
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -1 Audience Students seeking master's degrees in applied statistics in the late 1960s and 1970s typically took a year-long sequence in statistical methods. Popular choices of the course text book in that period prior to the availability of high speed computing and graphics capability were those authored by Snedecor and Cochran, and Steel and Torrie. By 1980, the topical coverage in these classics failed to include a great many new and important elementary techniques in the data analyst's toolkit. In order to teach the statistical methods sequence with adequate coverage of topics, it became necessary to draw material from each of four or five text sources. Obviously, such a situation makes life difficult for both students and instructors. In addition, statistics students need to become proficient with at least one high-quality statistical software package. This book can serve as a standalone text for a contemporary year-long course in statistical methods at a level appropriate for statistics majors at the master's level or other quantitatively oriented disciplines at the doctoral level. The topics include both concepts and techniques developed many years ago and a variety of newer tools not commonly found in textbooks.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 756 pp. Englisch.