DocumentCode :
998228
Title :
Exploratory Data Analysis for Semiconductor Manufacturing
Author :
Bandes, Dean
Author_Institution :
LTX Corporation
Volume :
2
Issue :
3
fYear :
1985
fDate :
6/1/1985 12:00:00 AM
Firstpage :
45
Lastpage :
55
Abstract :
This article introduces a few modern statistical techniques that are especially well suited to analysis of data obtained from semiconductor testing. Test data is particularly likely to be distributed in non-Gaussian fashion, thus data summaries and displays based on sample means and standard deviations are likely to be misleading. Engineers¿test engineers in particular¿should become familiar with stem-and-leaf displays, box-plots, medians, letter-value displays, and pseudosigmas. These displays and statistics can supplement and gradually replace the more traditional histogram, mean, and standard deviation in test data reporting and in testing literature over the next several years.
Keywords :
Data analysis; Electronic design automation and methodology; Gaussian distribution; Performance analysis; Robustness; Semiconductor device manufacture; Shape; Statistical analysis; Statistical distributions; Testing;
fLanguage :
English
Journal_Title :
Design & Test of Computers, IEEE
Publisher :
ieee
ISSN :
0740-7475
Type :
jour
DOI :
10.1109/MDT.1985.294739
Filename :
4069587
Link To Document :
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