Displaying similar documents to “On the Variance, Reliability and Importance of Canonical Variables”

Concepts of relative importance.

William Kruskal (1984)

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How might one interpret the relative importance of independent variables, causes or determiners when a dependent variable depends on those determiners together with chance? Such questions arise throughout science, technology, and national life. The paper attemps to clarify and critically describe a number of approaches to the problem of understanding relative importance.

Product expenditure patterns in the ECPF survey: an analysis using multiple group latent-variables models.

Eva Ventura, Albert Satorra (2001)

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Using data form the Spanish household budget survey, we investigate some aspects of household heterogeneity on several product expenditures. We adopt a latent-variable model approach to evaluate the impact of income on expenditures, controlling for the number of members in the family. Two latent factors underlying repeated measures of monetary and non-monetary income are used as explanatory variables in the expenditure regression equations, thus avoiding possible bias associated to the...

Small-area estimation using adjustment by covariantes.

Nicholas T. Longford (1996)

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Linear regression models with random effects are applied to estimating the population means of indirectly measured variables in small areas. The proposed method, a hybrid with design- and model-based elements, takes account of the area-level variation and of the uncertainty about the fitted regression model and the area-level population means of the covariates. The method is illustrated on data from the U.S. Department of Labor Literacy Surveys and is informally validated on two states,...

Analysis on the individual efficiency prediction in the composed error frontier model. A Monte Carlo study.

Rafaela Dios Palomares, Antonio Ramos Millán, José Angel Roldán-Casas (2002)

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This study seeks to analyse some important questions related to the Stochastic Frontier Model, such as the method proposed by Jondrow et al (1982) to separate the error term into its two components, and the measure of efficiency given by Timmer (1971). To this purpose, a Monte Carlo experiment has been carried out using the Half-Normal and Normal-Exponential specifications throughout the rank of the γ parameter. The estimation errors have been eliminated, so that the intrinsic variability...