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Modern Applied Statistics with S-Plus
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Catalogue Information
Field name
Details
Dewey Class
005.369
Title
Modern Applied Statistics with S-Plus ([EBook]) / by W. N. Venables, B. D. Ripley.
Author
Venables, William N.
Added Personal Name
Ripley, Brian D. , 1952-
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : Springer , 1994.
Physical Details
XIII, 462 pages : online resource.
Series
Statistics and computing
1431-8784
ISBN
9781489928191
Summary Note
S-Plus is a powerful environment for statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-Plus to perform statistical analyses and provides both an introduction to the use of S-Plus and a course in modern statistical methods. The aim of the book is to show how to use S-Plus as a powerful and graphical system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for would-be users of S-Plus, and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets.:
Contents note
1 Introduction -- 2 The S Language -- 3 Graphical Output -- 4 Programming in S -- 5 Distributions and Data Summaries -- 6 Linear Statistical Models -- 7 Generalized Linear Models -- 8 Robust Statistics -- 9 Non-linear Regression Models -- 10 Modern Regression -- 11 Survival Analysis -- 12 Multivariate Analysis -- 13 Tree-based Methods -- 14 Time Series -- 15 Spatial Statistics -- References -- Appendices -- A Datasets and Software -- A.1 Directories -- A.2 Sources of machine-readable versions -- A.3 Caveat -- B Common S-PLUS Functions -- C S versus S-PLUS -- D Using S Libraries -- D.1 Creating a library -- D.2 Sources of libraries -- E Command Line Editing -- F Answers to Selected Exercises.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-1-4899-2819-1
Links to Related Works
Subject References:
Business
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Complexity
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Complexity, Computational
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Information technology
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IT in Business
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Mathematical Statistics
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Probabilities
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Probability theory and stochastic processes
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S-PLUS (Computer file)
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Statistics — Data processing
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Authors:
author
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Ripley, Brian D. 1952-
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Venables, William N.
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Corporate Authors:
SpringerLink (Online service)
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Series:
Statistics and computing
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Classification:
005.369
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005.369 (DDC 20)
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