0
*
0
*
1450
2025
book-filter
Work cover

Statistical analysis and data display

  • Richard M. Heiberger,
  • Burt Holland

0

0 ratings

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 data—showing code, graphics, and accompanying computer listings—for all the methods they cover. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. 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 S-Plus, 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. Richard M. Heiberger and Burt Holland are both Professors in the Department of Statistics at Temple University and elected Fellows of the American Statistical Association. Richard M.

Heiberger participated in the design of the S-Plus linear model and analysis of variance commands while on research leave at Bell Labs in 1987–88 and has been closely involved as a beta tester and user of S-Plus. Burt Holland has made many research contributions to linear modeling and simultaneous statistical inference, and frequently serves as a consultant to medical investigators. Both teach the Temple University course sequence that inspired them to write this text.

Genres

  • Statistics
  • R (Computer program language)
  • S-Plus
  • Mathematical statistics
  • Data processing
  • SAS (Computer file)
  • Statistical Theory and Methods
Already read

people already read

Currently reading

people are currently reading

Want to read

people want to read

About the authors

  • Richard M. Heiberger

    born 1945

    0

    0 ratings · 2 works

  • Burt Holland

    0

    0 ratings · 1 works

Editions

  • Edition cover

    Springer

    July 28, 2004

  • Edition cover

    Springer New York

    2019

  • Edition cover

    Springer New York

    2015

  • Edition cover

    Springer London, Limited

    2015

Edition cover

Springer London, Limited

2013

  • Edition cover

    Springer New York

    2010