[
https://issues.apache.org/jira/browse/MADLIB-987?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Frank McQuillan updated MADLIB-987:
-----------------------------------
Description:
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)
was:
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)
> 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: gsoc, 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)
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
