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Part 1: Document Description
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Citation |
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Title: |
Replication data for: Critical Differences in Bayesian and Non-Bayesian Inference and Why the Former is Better. |
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Identification Number: |
doi:10.7910/DVN/NECZTX |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2011-05-09 |
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Version: |
2 |
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Bibliographic Citation: |
Jeff Gill, 2011, "Replication data for: Critical Differences in Bayesian and Non-Bayesian Inference and Why the Former is Better.", https://doi.org/10.7910/DVN/NECZTX, Harvard Dataverse, V2 |
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Citation |
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Title: |
Replication data for: Critical Differences in Bayesian and Non-Bayesian Inference and Why the Former is Better. |
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Identification Number: |
doi:10.7910/DVN/NECZTX |
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Authoring Entity: |
Jeff Gill (Washington University in St. Louis) |
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Distributor: |
Harvard Dataverse |
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Date of Deposit: |
2011-05-05 |
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Holdings Information: |
https://doi.org/10.7910/DVN/NECZTX |
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Study Scope |
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Abstract: |
N/A |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
"Critical Differences in Bayesian and Non-Bayesian Inference and Why the Former is Better." In Current Methodological Developments of Statistics in the Social Sciences}. Stanislav Kolenikov, Lori Thombs, and Douglas Steinley (eds.). 135-158 (2010). John Wiley & Sons. |
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Bibliographic Citation: |
"Critical Differences in Bayesian and Non-Bayesian Inference and Why the Former is Better." In Current Methodological Developments of Statistics in the Social Sciences}. Stanislav Kolenikov, Lori Thombs, and Douglas Steinley (eds.). 135-158 (2010). John Wiley & Sons. |
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Label: |
nukes.code.R |
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Text: |
R code for figures and Gibbs Sampler |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
nukes.txt |
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Text: |
U.S. thermonuclear test data |
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Notes: |
text/plain; charset=US-ASCII |