Exploratory data analysis /
An introduction to the underlying principles, central concepts, and basic techniques for conducting and understanding exploratory data analysis - with numerous social science examples.
| Основен автор: | Hartwig, Frederick. |
|---|---|
| Други автори: | Dearing, Brian E. |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Beverly Hills, Calif. :
Sage Publications,
℗♭1979.
|
| Серия: |
Sage university paper.
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| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=24718 |
| Подобни документи: |
Print version::
Exploratory data analysis. |
Съдържание:
- 1. The exploratory perspective
- 2. Looking at data: distributions of single variables
- Introduction
- Displaying data: the stem-and-leaf
- Summarizing data
- Resistant statistics and number summaries
- The box-and-whisker
- Understanding data
- Skewness
- Outliers
- Gaps and multiple peaks
- Summary
- 3. Looking at data: relationships between variables
- Introduction
- Displaying relationships: the scatter plot
- Summarizing relationships
- Fitting a line
- Smoothing the data
- Median and hinge traces
- Examining residuals
- Understanding relationships
- Outliers
- Nonlinear monotonic relationships
- Nonmonotonic relationships
- Summary
- 4. Looking for structure: reexpression
- Introduction
- Choosing reexpressions
- Nonlinear monotonic functions
- Nonmonotonic functions
- Summary
- 5. Multivariate analysis: putting it all together
- Step 1: Univariate analysis
- Step 2: Bivariate analysis
- Step 3: Multivariate analysis
- Step 4: Causal analysis
- 6. The exploratory perspective revisited.