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

漂亮才会豪华

High-dimensional Full-information Item Factor Analysis,em test or scale, it determines the dimensionality of individual variation among the respondents and reveals attributes of the items defining each dimension. In practical test construction and scoring, it is the best guide to item selection and revision, as well as an essential preliminary step in j

Parallel

Dynamic Factor Models for the Analysis of Ordered Categorical Panel Data,s well as the dynamic development of these variables over time. Examples of panel studies are the Panel Study of Income Dynamics (PSID), the German Socio-Economic Panel (GSOEP), the European Innovation Panel for the Manufacturing Industry and the Longitudinal Study of American Youth (LSAY). Data are

Polydipsia

Detoxification

Multivariate Regression with Errors in Variables: Issues on Asymptotic Robustness,nd not necessarily normal data, is developed using only the sample cross-product moments of the data. We give conditions under which normal theory standard errors and an asymptotic chi-square goodness-of-fit test statistic retain their validity despite non-normality of constituents of the model. Ass

AWE

GEM

CUMB

Optimal Conditionally Unbiased Equivariant Factor Score Estimators,In order to select among these estimators, weighted (WLS) and generalized least squares (GLS) functions are optimized, optimal minimum variance estimators are obtained, and fifteen multivariate criterion functions are used to define optimality. Optimality is achieved by only the WLS and GLS estimato

Cabg318

水獭

defile

Michael E. Sobelearthquakes having occurred in geologically recent times, although the exact timing of these events is difficult to establish. It might be thought that, although such large earthquakes may have occurred, for example, in immediate post-glacial times in response to rapid isostatic readjustment, no ear