Titlebook: Latent Variable Modeling and Applications to Causality; Maia Berkane Conference proceedings 1997 Springer Science+Business Media New York

一大块

Latent Variable Modeling and Applications to Causality978-1-4612-1842-5Series ISSN 0930-0325 Series E-ISSN 2197-7186

Pathogen

Conspiracy

Models as Instruments, With Applications to Moment Structure Analysis,n a simple geometrical argument, and on expansions of the loss functions around the estimate, the target, and the replication. We give both delta-method and Jackknife computational procedures to estimate the relevant quantities.

Gorilla

伤心

cogent

Measurement, Causation and Local Independence in Latent Variable Models,xplanation. The latent variables may be continuous or discrete and the indicators of these may be continuous and/or discrete as well. Crossing the levels of measurement of the indicators with the assumptions on the level of measurement and distribution of the latent variables yields a variety of dis

moratorium

On the Identification of Nonparametric Structural Models,lity distributions of the disturbances remain unspecified. Identifiability in such models does not mean uniqueness of structural parameters but rather uniqueness of policy-related predictions that such parameters would normally support..We provide sufficient and necessary conditions for identifying

芦笋

LIEN

披肩

Latent Variable Growth Modeling with Multilevel Data, software. Latent variable modeling of growth considers a vector of observations over time for an individual, reducing the two-level problem to a one-level problem Analogous to this, three-level data on students, time points, and schools can be modeled by a two-level growth model. An interesting fea