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https://issues.apache.org/jira/browse/MADLIB-987?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan updated MADLIB-987:
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Labels: gsoc2016 starter (was: gsoc starter)
> Mixed Effects Modeling
> ----------------------
>
> Key: MADLIB-987
> URL: https://issues.apache.org/jira/browse/MADLIB-987
> Project: Apache MADlib
> Issue Type: New Feature
> Reporter: Frank McQuillan
> Labels: gsoc2016, starter
> Attachments: MixedModels_SRS_v01_AC.pdf
>
>
> Description
> A mixed effects model, like many other statistical models, infers the
> relationship between dependent (or response ) and independent variables. It
> generalizes the standard regression model by allowing correlation among
> observations, which may be due to grouping of subjects (e.g. students in
> different schools), or to repeated measurements made sequentially on the
> same subject (e.g. longitudinal data in biostatistics or panel data in
> econometrics). A mixed effects model contains fixed effects and random
> effects components.
> See reference [1] for a requirements doc for mixed effects modeling tailored
> to MADlib.
> References
> [1] Mixed effects modeling reqts doc authored by Pivotal data science team
> (attached)
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