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Statistical Methods for Flow Data

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In this presentation, Joseph B. Kadane discusses how Bayesian methods help make the logistic regression approach to scan data stable and operationally feasible.
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Software Engineering Institute

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Abstract

In this presentation, given at FloCon 2004, Joseph Kadane discusses how Bayesian methods help make the logistic regression approach to scan data stable and operationally feasible.

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Kadane, J. (2004, July 22). Statistical Methods for Flow Data. Retrieved September 12, 2026, from https://www.sei.cmu.edu/library/statistical-methods-for-flow-data/.

@techreport{kadane_2004,
author={Kadane, Joseph},
title={Statistical Methods for Flow Data},
month={Jul},
year={2004},
institution={Software Engineering Institute, Carnegie Mellon University},
url={https://www.sei.cmu.edu/library/statistical-methods-for-flow-data/},
note={Accessed: 2026-Sep-12}
}

Kadane, Joseph. "Statistical Methods for Flow Data." Software Engineering Institute, Carnegie Mellon University. Software Engineering Institute, July 22, 2004. https://www.sei.cmu.edu/library/statistical-methods-for-flow-data/.

J. Kadane, "Statistical Methods for Flow Data," Software Engineering Institute, Carnegie Mellon University. Software Engineering Institute, 22-Jul-2004 [Online]. Available: https://www.sei.cmu.edu/library/statistical-methods-for-flow-data/. [Accessed: 12-Sep-2026].

Kadane, Joseph. "Statistical Methods for Flow Data." Software Engineering Institute, Carnegie Mellon University, Software Engineering Institute, 22 Jul. 2004. https://www.sei.cmu.edu/library/statistical-methods-for-flow-data/. Accessed 12 Sep. 2026.

Kadane, Joseph. Statistical Methods for Flow Data. Software Engineering Institute. 2004. https://www.sei.cmu.edu/library/statistical-methods-for-flow-data/

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