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Hierarchical models: What the data ...

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Kiss, Alexander.

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Hierarchical models: What the data are really telling us.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hierarchical models: What the data are really telling us./
Author:	Kiss, Alexander.
Description:	124 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0516.
Contained By:	Dissertation Abstracts International65-02B.
Subject:	Biology, Biostatistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3120673
ISBN:	0496680280

Hierarchical models: What the data are really telling us.
Kiss, Alexander.

Hierarchical models: What the data are really telling us. - 124 p.

Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0516.

Thesis (Ph.D.)--Columbia University, 2004.

Generalized linear mixed models are commonly employed to tackle a wide variety of data analysis problems in a multitude of settings. In these data settings understanding the statistical results can be a bigger issue than generating the numbers f

ISBN: 0496680280Subjects--Topical Terms:

1018416
Biology, Biostatistics.

Hierarchical models: What the data are really telling us.
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245 1 0 $a Hierarchical models: What the data are really telling us.
300 $a 124 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0516.
500 $a Adviser: Andrew Gelman.
502 $a Thesis (Ph.D.)--Columbia University, 2004.
520 $a Generalized linear mixed models are commonly employed to tackle a wide variety of data analysis problems in a multitude of settings. In these data settings understanding the statistical results can be a bigger issue than generating the numbers f
590 $a School code: 0054.
650 4 $a Biology, Biostatistics. $3 1018416
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