Statistical Computing: An Introduction to Data Analysis using S-PlusISBN: 978-0-471-56040-1
Hardcover
772 pages
May 2002
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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
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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Statistical Computing: An Introduction to Data Analysis using S-Plus (US $151.00)
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