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Re: st: Variance decomposition


From   Carlos Garcia <cgarci8@tigers.lsu.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Variance decomposition
Date   Thu, 2 Apr 2009 11:43:23 -0600

You are very welcome, some books that may interest you.

Scheffé, Henry. 1959. The analysis of variance, A Wiley publication in
mathematical statistics. New York,: Wiley.

Sahai, Hardeo, and Mohammed I. Ageel. 2000. The analysis of variance :
fixed, random, and mixed models. Boston: Birkhäuser.

Regards from LSU,

Carlos

On Wed, Apr 1, 2009 at 10:56 PM, Susan Olivia <olivia@primal.ucdavis.edu> wrote:
> Thanks Carlos and Joseph for pointing out the references.
>
> Susan
>
> ----- Original Message Follows -----
> From: "Susan Olivia" <susan.olivia@gmail.com>
> To: <olivia@primal.ucdavis.edu>
> Subject: FW: st: Variance decomposition
> Date: Wed, 1 Apr 2009 21:13:22 -0700
>
>>
>>
>> -----Original Message-----
>> From: owner-statalist@hsphsun2.harvard.edu
>> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of
>> Joseph McDonnell Sent: Tuesday, March 31, 2009 7:33 PM
>> To: statalist@hsphsun2.harvard.edu
>> Subject: Re: st: Variance decomposition
>>
>> Susan
>>
>> many multilevel models are based on "location" e.g.
>> schools within region, students within schools,
>> measurements within students. There are a number of books
>> on multilevel/random-effect models. Rabe-Hesketh and
>> Skrondal's Multilevel and Longitudinal Modeling Using
>> Stata is one that addresses such models from a Stata
>> user's point of view and I can personally recommend it.
>> It's available at the StataCorp website.
>>
>> Cheers
>>
>> Joseph
>>
>> On Wed, Apr 1, 2009 at 9:45 AM, Susan Olivia
>> <olivia@primal.ucdavis.edu> wrote:
>> > Dear Stata list,
>> >
>> > I have the following model y[ch] = x’[ch]beta +
> u[ch]
>> > and u[ch] =  eta[c] + e[ch],
>> >
>> > where c corresponds to location ‘c’ and h
> corresponds to
>> > household  ‘h’. In other words, the error term can
> be
>> > thought of the error due to  the location component and
>> the household component. >
>> >
>> > I would like to decompose the total variance due to
>> > these two effects.  Can I get any advice how to tackle
>> this issue? >
>> > At first sight, I thought this model is similar to that
>> > of random  effects, but we’re dealing in space rather
>> than time dimension. >
>> >
>> > Any insights on this are much appreciated. As I still
>> > have a lot to  learn on Stata.
>> >
>> >
>> >
>> > Thanks,
>> >
>> >
>> >
>> > Susan
>> >
>> >
>> >
>> > *
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>> >
>>
>> *
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>>
>
> *
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> *   http://www.ats.ucla.edu/stat/stata/
>



-- 
Ignacio García
Cel: 225 405-7851

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