A generalized quasi-likelihood model application to modeling poverty of Asian American women

Research output: Contribution to journalArticle

Abstract

A generalized quasi-likelihood function that does not require the assumption of an underlying distribution when modeling jointly the mean and the variance, is introduced to examine poverty of Asian American women living in the West coast of the United States, using data from U.S. Census Bureau.

Original languageEnglish (US)
Pages (from-to)165-175
Number of pages11
JournalJournal of Modern Applied Statistical Methods
Volume3
Issue number1
StatePublished - 2004

Fingerprint

Poverty
Quasi-likelihood
Census
Likelihood Function
Modeling
Model
Asian Americans
Coast

Keywords

  • Extravariation
  • Generalized linear models
  • Logistic regression

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Statistics and Probability

Cite this

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title = "A generalized quasi-likelihood model application to modeling poverty of Asian American women",
abstract = "A generalized quasi-likelihood function that does not require the assumption of an underlying distribution when modeling jointly the mean and the variance, is introduced to examine poverty of Asian American women living in the West coast of the United States, using data from U.S. Census Bureau.",
keywords = "Extravariation, Generalized linear models, Logistic regression",
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