A note on the computation of the second-order derivatives of the elementary symmetric functions in the Rasch model

DOI10.1007/BF02293990zbMath0612.62145MaRDI QIDQ1088364

Anton K. Forman

Publication date: 1986

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

second-order derivativesexplicit formulasconditional maximum likelihoodelementary symmetric functionsRasch modelNewton-Raphson procedure

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (2)

Testing the Rasch model with the conditional likelihood ratio test: sample size requirements and bootstrap algorithms ⋮ Computing maximum likelihood estimates of loglinear models from marginal sums with special attention to loglinear item response theory

Cites Work

• Logistic latent trait models with linear constraints
• On the existence and uniqueness of maximum-likelihood estimates in the Rasch model
• Two new test statistics for the Rasch model
• A goodness of fit test for the Rasch model

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