ANALYSIS OF DISCRETE DATA USING LINEAR REGRESSION

Authors

  • Robert J. Flowers

DOI:

https://doi.org/10.19136/era.a1n2.362

Keywords:

Multinomial distribution, maximum likelihood estimation, minimum modified chi-square estimation, models of marginal homogeneity, binomial regression

Abstract

Maximum likelihood estimates are obtained for a linear regressio model where the dependent variable is a linear transformation of mutinomially distributed random variables.

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Published

2014-08-07

Issue

Section

SCIENTIFIC ARTICLE

How to Cite

J. Flowers, R. (2014). ANALYSIS OF DISCRETE DATA USING LINEAR REGRESSION. Ecosistemas Y Recursos Agropecuarios, 1(2). https://doi.org/10.19136/era.a1n2.362

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