TY  - BOOK
AU  - Heiberger,Richard M.
AU  - Holland,Burt
TI  - Statistical analysis and data display: an intermediate course with examples in R 
T2  - Springer texts in statistics
SN  - 9781493921218 
U1  - 000SA.055 23
PY  - 2015///
CY  - New York
PB  - Springer
KW  - Mathematical statistics
KW  - Data processing
KW  - Statistics
KW  - R (Computer program language)
N1  - Includes bibliographical references and indexes; 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, contrasts, and analysis of covariance --
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. R--
B. HH --
C. Rcmdr: R commander --
D. RExcek: Embedding R inside Excel on Windows --
E. Shiny: web-based  access to R functions --
F. R packages --
G. Computational precision and floation-point arithmetic --
H. Other statistical software --
I. Mathematics preliminaries --
J. Probability distributions --
K. Working style --
L. Writing style --
M. Accessing R through a powerful editor-with Emacs and ESS as the example --
N. LATEX --
O. Word processors and spreadsheets
N2  - 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
ER  -