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NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis

Published

Author(s)

N. Alan Heckert, James J. Filliben

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

Citation

Heckert, N. and Filliben, J. (2003), NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis, NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis (Accessed June 16, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created May 31, 2003, Updated October 12, 2021