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

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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
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