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- W3123505335 abstract "In the context of linear latent-variable models, and a general type of distribution of the data, the asymptotic optimality of a subvector of minimum-distance estimators whose weight matrix uses only second-order moments is investigated. The asymptotic optimality extends to the whole vector of parameter estimators, if additional restrictions on the third-order moments of the variables are imposed. Results related to the optimality of normal (pseudo) maximum likelihood methods are also encompassed. The results derived concern a wide class of latent-variable models and estimation methods used routinely in software for the analysis of latent-variable models such as LISREL, EQS, and CALIS. The general results are specialized to the context of multivariate regression and simultaneous equations with errors in variables.(This abstract was borrowed from another version of this item.)" @default.
- W3123505335 created "2021-02-01" @default.
- W3123505335 creator A5005759832 @default.
- W3123505335 date "1993-02-01" @default.
- W3123505335 modified "2023-09-27" @default.
- W3123505335 title "On the asymptotic optimality of alternative minimum-distance estimators in linear latent-variable models" @default.
- W3123505335 hasPublicationYear "1993" @default.
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