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Missing Data in the Forensic Context

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Missing survey data are difficult to present in court. This paper reflects testimony prepared and given by the authors in a case alleging that the New Jersey State Police were differentially stopping and arresting blacks at the southern end of the New Jersey turnpike. A Bayesian technique with informative priors is used to examine the sensitivity of the inference to the missing data.
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Keywords: BAYESIAN ANALYSIS; IDENTIFICATION PROBLEM; RACIALLY BIASED TRAFFIC STOPPING

Document Type: Research Article

Affiliations: 1: Carnegie Mellon University, Pittsburgh, USA 2: Harvard University, Cambridge, USA

Publication date: 1997-02-01

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