We Need Both Exploratory and Confirmatory
作者:
JohnW. Tukey,
期刊:
The American Statistician
(Taylor Available online 1980)
卷期:
Volume 34,
issue 1
页码: 23-25
ISSN:0003-1305
年代: 1980
DOI:10.1080/00031305.1980.10482706
出版商: Taylor & Francis Group
关键词: Exploratory data analysis;Confirmatory data analysis;Paradigms of science and engineering;Sources of ideas;Randomization;Multiplicity
数据来源: Taylor
摘要:
We often forget how science and engineering function. Ideas come from previous exploration more often than from lightning strokes. Important questions can demand the most careful planning for confirmatory analysis. Broad general inquiries are also important. Finding the question is often more important than finding the answer. Exploratory data analysis is an attitude, a flexibility, and a reliance on display, NOT a bundle of techniques, and should be so taught. Confirmatory data analysis, by contrast, is easier to teach and easier to computerize. We need to teach both; to think about science and engineering more broadly; to be prepared to randomize and avoid multiplicity.
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