Maximum likelihood inference for log-linear models subject to constraints of double monotone dependence
From MaRDI portal
Publication:1001726
DOI10.1007/s10260-006-0011-yzbMath1157.62031OpenAlexW2095048136MaRDI QIDQ1001726
Manuela Cazzaro, Roberto Colombi
Publication date: 24 February 2009
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-006-0011-y
Estimation in multivariate analysis (62H12) Parametric inference under constraints (62F30) Generalized linear models (logistic models) (62J12) Contingency tables (62H17)
Related Items (3)
Testing order restrictions in contingency tables ⋮ Modelling two way contingency tables with recursive logits and odds ratios ⋮ Multinomial-Poisson models subject to inequality constraints
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Testing for positive association in contingency tables with fixed margins
- Order-restricted inference for monotone trend alternatives in contingency tables.
- On the asymptotics of constrained \(M\)-estimation
- Marginal regression models for the analysis of positive association of ordinal response variables
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
- Towards a Unified Theory of Inequality Constrained Testing in Multivariate Analysis
- Positive Quadrant Dependence and Marginal Modeling in Two-Way Tables With Ordered Margins
- Estimation When a Parameter is on a Boundary
- A Unified Approach to Likelihood Inference on Stochastic Orderings in a Nonparametric Context
- On Differentiability of Metric Projections in R n , 1: Boundary Case
- On the Distribution of the Likelihood Ratio
This page was built for publication: Maximum likelihood inference for log-linear models subject to constraints of double monotone dependence