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1994, Quantitative applications in the social sciences, ISBN 0803949995, Volume no. 07-101, vii, 88
Book
1984, Sage University papers, ISBN 0803921330, Volume 45., 95
Book
1999, Wiley series in probability and statistics. Texts and reference section, ISBN 9780471154105, xiii, 386
Book
2002, Quantitative applications in the social sciences, ISBN 0761922423, Volume 138, vi, 97
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2001, Quantitative applications in the social sciences, ISBN 0761920552, Volume 134, viii, 101
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1992, Quantitative applications in the social sciences, ISBN 0803943776, Volume no. 07-086, vi, 87
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2006, Quantitative applications in the social sciences, ISBN 0761929894, Volume no. 146, xi, 107
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Social Networks, ISSN 0378-8733, 2007, Volume 29, Issue 2, pp. 173 - 191
This article provides an introductory summary to the formulation and application of exponential random graph models for social networks. The possible ties... 
Exponential random graph models | p models | Statistical models for social networks | models | exponential random graph models | DIRECTED-GRAPHS | LOGIT-MODELS | LOGISTIC REGRESSIONS | ANTHROPOLOGY | statistical models for social networks | MARKOV GRAPHS | FAMILY | SOCIOLOGY | Social networks | Analysis | Models | Sociology
Journal Article
Social Networks, ISSN 0378-8733, 2009, Volume 31, Issue 1, pp. 12 - 25
Recent advances in Exponential Random Graph Models (ERGMs), or models, include new specifications that give a much better chance of model convergence for large... 
MCMC MLE | Partial conditional dependence assumption | Exponential random graph ( [formula omitted]) models | Affiliation networks | Exponential random graph (p ) models | LOGIT-MODELS | Exponential random graph (p) models | LOGISTIC REGRESSIONS | SOCIAL NETWORKS | ANTHROPOLOGY | MARKOV GRAPHS | FAMILY MODELS | SOCIOLOGY | Markov processes | Analysis | Models
Journal Article
Journal Article
Transportation Research Part B, ISSN 0191-2615, 2011, Volume 45, Issue 3, pp. 461 - 473
Journal Article
Journal of Memory and Language, ISSN 0749-596X, 2008, Volume 59, Issue 4, pp. 434 - 446
Journal Article
Economics Letters, ISSN 0165-1765, 04/2012, Volume 115, Issue 1, pp. 85 - 87
In any nonlinear "difference-in-differences" model with strictly monotonic transformation function, the treatment effect is the cross difference of the... 
Tobit | Identification | Potential outcomes | Logit | Probit | ECONOMICS
Journal Article
Political Analysis, ISSN 1047-1987, 1/2006, Volume 14, Issue 1, pp. 63 - 82
Multiplicative interaction models are common in the quantitative political science literature. This is so for good reason. Institutional arguments frequently... 
Presidential candidates | Economic models | Presidential elections | Political science | Variable coefficients | Standard error | Coefficients | Modeling | Parametric models | Political parties | POLITICAL SCIENCE | MULTIPLE-REGRESSION | INTERACTION TERMS | SYSTEMS | VARIABLES | ERROR | ELECTORAL INSTITUTIONS | DEMOCRACIES | PROBIT | LOGIT | RULES | Social interaction | Models
Journal Article
Social Networks, ISSN 0378-8733, 2007, Volume 29, Issue 2, pp. 192 - 215
This article reviews new specifications for exponential random graph models proposed by Snijders et al. [Snijders, T.A.B., Pattison, P., Robins, G.L.,... 
Exponential random graph models | p models | Statistical models for social networks | exponential random graph models | LOGIT-MODELS | LOGISTIC REGRESSIONS | ANTHROPOLOGY | statistical models for social networks | MARKOV GRAPHS | FAMILY MODELS | SOCIOLOGY | Social networks | Sociology
Journal Article
Stata Journal, ISSN 1536-867X, 2011, Volume 11, Issue 3, pp. 420 - 438