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Discrete Multivariate Analysis: Theory and Practice
, 1975
"... the collaboration of Richard J. Light and Frederick Mosteller. ..."
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Cited by 417 (34 self)
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the collaboration of Richard J. Light and Frederick Mosteller.
Algebraic Algorithms for Sampling from Conditional Distributions
 Annals of Statistics
, 1995
"... We construct Markov chain algorithms for sampling from discrete exponential families conditional on a sufficient statistic. Examples include generating tables with fixed row and column sums and higher dimensional analogs. The algorithms involve finding bases for associated polynomial ideals and so a ..."
Abstract

Cited by 182 (15 self)
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We construct Markov chain algorithms for sampling from discrete exponential families conditional on a sufficient statistic. Examples include generating tables with fixed row and column sums and higher dimensional analogs. The algorithms involve finding bases for associated polynomial ideals and so an excursion into computational algebraic geometry.
APPROACHES TO THE ANALYSIS OF COMPLEX CONTINGENCY TABLES A Guide for the Perplexed
"... © 1979 SAGE Publications. All rights reserved. Not for commercial use or unauthorized distribution. Social scientists have available a wide array of techniques for the analysis of complex contingency tables. This paper discusses the factors which should be considered in choosing which of the various ..."
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© 1979 SAGE Publications. All rights reserved. Not for commercial use or unauthorized distribution. Social scientists have available a wide array of techniques for the analysis of complex contingency tables. This paper discusses the factors which should be considered in choosing which of the various techniques to use. The theme emphasized here is that the analyst should evaluate the techniques within the context of the substantive questions he seeks to answer. The specific factors discussed are categorized into three groups: representation of the dependent variable, independent variable models, and estimation procedures.