Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS /
This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze datashowing code, graphics, and accompanying computer listingsfor all the methods they cover. They emphasize h...
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| Format: | eBook |
| Language: | English |
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New York :
Springer,
[2004]
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| Series: | Springer texts in statistics.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction and Motivation
- Data and Statistics
- Statistics Concepts
- Graphs
- Introductory Inference
- One-Way Analysis of Variance, ANOVA
- Multiple Comparisons
- Linear Regression by Least Squares
- Multiple Regression
- More Than One Predictor
- Multiple Regression
- Dummy Variables and Contrasts
- Multiple Regression
- Regression Diagnostics
- Two-Way Analysis of Variance
- Design of Experiments
- Factorial Designs
- Design of Experiments
- More Complex Designs
- Bivariate Statistics
- Discrete Data
- Nonparametrics
- Logistic Regression
- Time Series Analysis.