Research Catalog

Title

Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS / Richard M. Heiberger, Burt Holland.

Author

Heiberger, Richard M., 1945-

Publication

New York : Springer, ©2004.

Items in the Library & Off-site

Details

Additional Authors

Holland, Burt.

Description

xxiv, 729 pages : illustrations; 25 cm.

Summary

• "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 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."
• "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. 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."--Jacket.

Series Statement

Springer texts in statistics

Uniform Title

Springer texts in statistics.

Subject

• S-Plus
• SAS (Computer file)
• Mathematical statistics > Data processing
• Statistics > Data processing
• R (Computer program language)
• 31.73 mathematical statistics
• R Programm
• S-PLUS
• SAS Programm
• Statistische Analyse
• Statistik
• Grafische Darstellung
• Statistiek
• Grafische methoden
• R (computerprogramma)
• SAS (software)

Genre/Form

Educational tools (form)

Bibliography (note)

• Includes bibliographical references (p. [709]-719) and index.

Contents

1. Introduction and motivation -- 2. Data and statistics -- 3. Statistics concepts -- 4. Graphs -- 5. Introductory inference -- 6. One-way analysis of variance -- 7. Multiple comparisons -- 8. Linear regression by least squares -- 9. Multiple regression -- more than one predictor -- 10. Multiple regression -- dummy variables and contrasts -- 11. Multiple regression -- regression diagnostics -- 12. Two-way analysis of variance -- 13. Design of experiments -- factorial designs -- 14. Design of experiments -- complex designs -- 15. Bivariate statistics -- discrete data -- 16. Nonparametrics -- 17. Logistic regression -- 18. Time series analysis -- A. Software -- B. S-plus and R -- C. SAS.

ISBN

• 0387402705
• 9780387402703

LCCN

• 2004048200
• 9780387402703
• 99808612502

OCLC

• ocm55067119
• 55067119
• SCSB-1347713

Owning Institutions

Princeton University Library