A paper from the '70s or so compared a large number of complex sample data
sets and found no predictable efficiency of error-estimation from bootstrap
vs. linearization. I don't remember the exact cite, but one author was Karol
Krotki.
arnold
Arnold H. Levinson, PhD
Associate Scientist
Center for Research Methodology and Biometrics
AMC Cancer Research Center
303.777.8801
fax 303.239.3394
[email protected]
Assistant Professor
Department of Preventive Medicine and Biometrics
University of Colorado School of Medicine
[email protected]
>
> Date: Thu, 31 Oct 2002 09:22:48 -0500
> From: "Sayer, Bryan" <[email protected]>
> Subject: st: RE: complex standard errors
>
> I have seen something recently, but I can't remember exactly where. But I
> suggest you try this question on the Survey Research Methods list serve.
> Which is at [email protected]. I think there is an access point
from
> the ASA website (www.amstat.org)
>
> Bryan Sayer
> Statistician, SSS Inc.
>
> - -----Original Message-----
> From: Patrick Sturgis
> To: Statalist (E-mail)
> Sent: 10/30/02 5:59 AM
> Subject: st: complex standard errors
>
> Can anybody provide me with a cite that compares the efficiency of
> bootstrap
> and Taylor linearization for standard errors under complex survey
> designs
> (clustered, stratified with unequal weights)? In anticipation,
>
> Patrick
>
> Dr Patrick Sturgis
> Department of Sociology
> University of Surrey
> Guildford
> Surrey GU2 7XH
> United Kingdom
> tel: +44 (0)1483 686 973
> fax: +44(0)1483 689551
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