Latent Regression in Loglinear Rasch Models

DOI10.1081/STA-120030150zbMath1114.62340OpenAlexW2054388040MaRDI QIDQ3155325

Svend Kreiner, Karl Bang Christensen, Jakob Bue Bjorner, Jørgen Holm Petersen

Publication date: 14 January 2005

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-120030150

Mathematics Subject Classification ID

Point estimation (62F10) General nonlinear regression (62J02)

Related Items

Analysis of Local Dependence and Multidimensionality in Graphical Loglinear Rasch Models ⋮ Conditional maximum likelihood estimation in polytomous Rasch models using SAS ⋮ Latent Regression with Constrained Parameters to Determine the Weight Coefficients in Summary Index Model

Uses Software

• ConQuest

Cites Work

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