Statistical analysis and data display : an intermediate course with examples in R / Richard M. Heiberger and Burt Holland.
Material type:
TextSeries: Springer texts in statisticsPublication details: New York : Springer, 2015.Edition: 2nd edDescription: xxxi, 898 pages : illustrations (some color) ; 24 cmISBN: - 9781493921218
- 000SA.055 23 H465
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.055 H465 (Browse shelf(Opens below)) | Available | 137723 |
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| 000SA.055 Ef27 Computer age statistical inference : | 000SA.055 F463 Basics of matrix algebra for statistics with R / | 000SA.055 G618 Survey of statistical network models / | 000SA.055 H465 Statistical analysis and data display : | 000SA.055 H678 Handbook of univariate and multivariate data analysis with IBM SPSS / | 000SA.055 K93 Statistical modeling and computation / | 000SA.055 K96 Applied predictive modeling / |
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.
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.
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