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Title: QP Statistics Spotlight: Randomization – At Random: The rationale behind randomization, and options when up against constraints

Abstract

While randomization may seem like a small part of the overall plan for implementing a designed experiment, it is important to protect against systematic bias and to justify the interpretation of the analysis results.

Authors:
ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
U.S. Department of Homeland Security; USDOE
OSTI Identifier:
1505973
Report Number(s):
LA-UR-17-31288
Journal ID: ISSN 0033-524X
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Quality Progress
Additional Journal Information:
Journal Volume: 51; Journal Issue: 3; Journal ID: ISSN 0033-524X
Publisher:
American Society for Quality Control
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Anderson-Cook, Christine Michaela. QP Statistics Spotlight: Randomization – At Random: The rationale behind randomization, and options when up against constraints. United States: N. p., 2018. Web.
Anderson-Cook, Christine Michaela. QP Statistics Spotlight: Randomization – At Random: The rationale behind randomization, and options when up against constraints. United States.
Anderson-Cook, Christine Michaela. Thu . "QP Statistics Spotlight: Randomization – At Random: The rationale behind randomization, and options when up against constraints". United States. https://www.osti.gov/servlets/purl/1505973.
@article{osti_1505973,
title = {QP Statistics Spotlight: Randomization – At Random: The rationale behind randomization, and options when up against constraints},
author = {Anderson-Cook, Christine Michaela},
abstractNote = {While randomization may seem like a small part of the overall plan for implementing a designed experiment, it is important to protect against systematic bias and to justify the interpretation of the analysis results.},
doi = {},
journal = {Quality Progress},
issn = {0033-524X},
number = 3,
volume = 51,
place = {United States},
year = {2018},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
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