Bayesian Analytical Methods: A Methodological Prescription for Public Administration (doi:10.7910/DVN/OHMA5H)

View:

Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Bayesian Analytical Methods: A Methodological Prescription for Public Administration

Identification Number:

doi:10.7910/DVN/OHMA5H

Distributor:

Harvard Dataverse

Date of Distribution:

2013-01-29

Version:

1

Bibliographic Citation:

Jeff Gill and Christopher Witko, 2013, "Bayesian Analytical Methods: A Methodological Prescription for Public Administration", https://doi.org/10.7910/DVN/OHMA5H, Harvard Dataverse, V1

Study Description

Citation

Title:

Bayesian Analytical Methods: A Methodological Prescription for Public Administration

Identification Number:

doi:10.7910/DVN/OHMA5H

Authoring Entity:

Jeff Gill and Christopher Witko (Washington University and University of St. Louis)

Distributor:

Harvard Dataverse

Date of Deposit:

2013-01-29

Holdings Information:

https://doi.org/10.7910/DVN/OHMA5H

Study Scope

Abstract:

N/A

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Related Publications

Citation

Title:

\underline{Jeff Gill and Christopher Witko}. ``Bayesian Analytical Methods: A Methodological Prescription for Public Administration.'' {\bf Journal of Public Adminstration Research and Theory}, Forthcoming 2013.

Bibliographic Citation:

\underline{Jeff Gill and Christopher Witko}. ``Bayesian Analytical Methods: A Methodological Prescription for Public Administration.'' {\bf Journal of Public Adminstration Research and Theory}, Forthcoming 2013.

Other Study-Related Materials

Label:

asap.rjags.dat

Text:

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

jpart.rjags.R

Text:

Notes:

text/plain; charset=US-ASCII