| Author(s): |
Nathanael A. Heckert; James J. Filliben; |
| Title: |
NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis |
| Published: |
June 01, 2003 |
| Abstract: |
This chapter presents an approach/philosophy for data analysis which employs a variety of techniques (mostly graphical) to: maximize insight into a data set; uncover underlying structure; detect outliers and anomalies; test underlying assumptions; and develop parsimonious models. The chapter also includes many case studies that show how to check a dataset for underlying assumptions. |
| Citation: |
NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis |
| Keywords: |
exploratory analysis;graphics;modeling;statistical tests |
| Research Areas: |
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