A strategy for designing telescoping models for analyzing multiway contingency tables using mixed parameters  

Oleh:

Yuchung, J. Wang ; Ip, Edward H.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 31 no. 03 (Feb. 2003), page 291-324.
Topik: marginal distributions; Telescoping; Methodology; occupation; education; gender; education level; race
Fulltext: Ip-291-324 - Bernard.pdf (202.69KB)

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Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

In the analysis of cross-classified data. sociologists often focus on building flexible models for the marginal distributions of a selected set of variables. One strategy for achieving flexible modeling is to design models for telescoping marginal distributions. As an illustration of telescoping distributions. consider joint distribution of four cross classifying variables: occupational attainment. education level. race. and gender: A set of telescoping distributions would be the univariate occupation distribution. The bivariate occupation by education. the trivariate occupation by education by race. and the entire joint distribution. A methodology that enables the telescoping modeling strategv is mixed parameterization. which has its roots ill the statistics and sociology literatures.In this article. the authors develop a scheme of multilevel mixed parameterization that can be applied to a hierarchy of marginal distributions of reducing dimension An example from the General Social Survey illustrates mixed parameters for telescoping models

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