Indian Statistical Institute Library, Kolkata

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Library,Documentation and Information Science Division

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

By: Heiberger, Richard M [author].
Contributor(s): Holland, Burt [author].
Material type: TextTextSeries: Springer texts in statistics.Publisher: New York : Springer, 2015Edition: 2nd ed.Description: xxxi, 898 pages : illustrations (some color) ; 24 cm.ISBN: 9781493921218 .Subject(s): Mathematical statistics -- Data processing | Statistics -- Data processing | R (Computer program language)DDC classification: 000SA.055
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, 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.
Summary: 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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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
000SA.055 H465 (Browse shelf) Available 137723
Total holds: 0

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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