Hiển thị biểu ghi dạng vắn tắt

dc.contributor.authorHeiberger, Richard M.
dc.contributor.authorHolland, Burt
dc.date.issued2015
dc.identifier.isbn978-1-4939-2122-5
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/10517
dc.descriptionxxxi, 808 p. : ill.
dc.description.abstractThe second edition features new chapters, sections and revisions. New chapters cover Likert Scale Data to build on the importance of rating scales in fields from population studies to psychometrics. 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. In-depth discussions of regression analysis, analysis of variance, and design of experiments are followed by introductions to analysis of discrete bivariate data, nonparametrics, logistic regression, and ARIMA time series modeling. The authors illustrate classical concepts and techniques with a variety of case studies using both newer graphical tools and traditional tabular displays. The authors provide and discuss R and SAS executable functions and macros for all new graphical display formats. All graphs and tabular output in the book were constructed using these programs. Complete transcripts for all examples and figures are provided for readers to use as models for their own analyses.
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofseriesSpringer Texts in Statistics
dc.subjectMathematical statistics
dc.subject.otherStatistics
dc.subject.otherData processing
dc.subject.otherR (Computer program language)
dc.subject.otherS-Plus
dc.subject.otherSAS (Computer file)
dc.titleStatistical analysis and data display : an intermediate course with examples in R
dc.typeBook
dc.description.version2nd edition


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Hiển thị biểu ghi dạng vắn tắt