Frank McQuillan created MADLIB-987:
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Summary: 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
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
(attached)
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