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" Modern Applied Statistics with S-Plus "
by W. N. Venables, B. D. Ripley.
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BL
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575702
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b404921
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| Main Entry
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Venables, W. N.
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| Title & Author
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Modern Applied Statistics with S-Plus\ by W. N. Venables, B. D. Ripley.
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| Publication Statement
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New York, NY :: Springer New York :: Imprint: Springer,, 1994.
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| Series Statement
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Statistics and Computing,
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| ISBN
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9781489928191
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: 9781489928214
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| Contents
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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.
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| Abstract
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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.
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Statistics.
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Distribution (Probability theory).
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Physics.
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Engineering.
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Management information systems.
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Ripley, B. D.
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SpringerLink (Online service)
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