Estimating the parameters of the latent population distribution

DOI10.1007/BF02293656zbMath0384.62088MaRDI QIDQ1249022

K. Appert

Publication date: 1977

Published in: Psychometrika (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (18)

Latent Regression in Loglinear Rasch Models ⋮ Bayes modal estimation in item response models ⋮ Consistent estimation in the Rasch model based on nonparametric margins ⋮ Rasch's model for reading speed with manifest explanatory variables ⋮ On the sampling interpretation of confidence intervals and hypothesis tests in the context of conditional maximum likelihood estimation ⋮ A heteroscedastic generalized linear model with a non‐normal speed factor for responses and response times ⋮ Marginal maximum likelihood estimation for the one-parameter logistic model ⋮ Loglinear representations of multivariate Bernoulli Rasch models ⋮ Randomization-based inference about latent variables from complex samples ⋮ A generalized Rasch model for manifest predictors ⋮ Item response theory for longitudinal data: population parameter estimation ⋮ Latent Variable Modelling: A Survey* ⋮ Identifying Guttman Structures in Incomplete Rasch Datasets ⋮ Estimating latent distributions ⋮ The role of conditional likelihoods in latent variable modeling ⋮ Ordinal data, ordered scale points, and order statistics ⋮ Parameter estimation in latent trait models ⋮ Estimating latent correlations between repeated testings

Cites Work

• Maximum likelihood estimates in exponential response models

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