Exploring Data in Engineering, the Sciences, and Medicine - Ronald K. Pearson
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This book introduces various widely available exploratory data analysis methods, emphasizing those that are most useful in the preliminary exploration of large datasets involving mixed data types. Topics include descriptive statistics, graphical analysis tools, regression modeling and spectrum estimation, along with practical issues like outliers, missing data, and variable selection.
Description
This book introduces various widely available exploratory data analysis methods, emphasizing those that are most useful in the preliminary exploration of large datasets involving mixed data types. Topics include descriptive statistics, graphical analysis tools, regression modeling and spectrum estimation, along with practical issues like outliers, missing data, and variable selection.
More Information
| Author | Ronald K. Pearson |
|---|---|
| Publisher | Hurst & Co. |
| Release year | 2011 |
| Cover type | Hardcover |
| EAN | 9780195089653 |