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Statistical Computing: An Introduction to Data Analysis using S-Plus

ISBN: 978-0-471-56040-1
Hardcover
772 pages
May 2002
List Price: US $172.75
Government Price: US $99.16
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Statistical methods

Introduction to S-Plus

Experimental design

Central tendency

Probability

Variance

The Normal distribution

Power calculations

Understanding data: graphical analysis

Understanding data: tabular analysis

Classical tests

Bootstrap and jackknife

Statistical models in S-Plus

Regression

Analysis of variance

Analysis of covariance

Model criticism

Contrasts

Split-plot Anova

Nested designs and variance components analysis

Graphs, functions and transformations

Curve fitting and piecewise regression

Non-linear regression

Multiple regression

Model simplification

Probability distributions

Generalised linear models

Proportion data: binomial errors

Count data: Poisson errors

Binary response variables

Tree models

Non-parametric smoothing

Survival analysis

Time series analysis

Mixed effects models

Spatial statistics

Bibliography

Index

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Text & Reference

by Seymour Geisser, Wesley O. Johnson
by Robert Bartoszynski, Magdalena Niewiadomska-Bugaj
by George E. P. Box, J. Stuart Hunter, William G. Hunter
by Frank R. Hampel, Elvezio M. Ronchetti, Peter J. Rousseeuw, Werner A. Stahel
by Samuel Kotz (Editor-in-Chief), Narayanaswamy Balakrishnan (Editor-in-Chief), Campbell B. Read (Editor-in-Chief), Brani Vidakovic (Editor-in-Chief)
by Samuel Kotz (Editor-in-Chief), Narayanaswamy Balakrishnan (Editor-in-Chief), Campbell B. Read (Editor-in-Chief), Brani Vidakovic (Editor-in-Chief), Norman L. Johnson (Founding Editor)
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