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Articles 31 - 32 of 32
Full-Text Articles in Multivariate Analysis
Complexity Reduction In State-Based Modeling, Martin Zwick
Complexity Reduction In State-Based Modeling, Martin Zwick
Complex Systems Faculty Publications and Presentations
For a system described by a relation among qualitative variables (or quantitative variables "binned" into symbolic states), expressed either set-theoretically or as a multivariate joint probability distribution, complexity reduction (compression of representation) is normally achieved by modeling the system with projections of the overall relation. To illustrate, if ABCD is a four variable relation, then models ABC:BCD or AB:BC:CD:DA, specified by two triadic or four dyadic relations, respectively, represent simplifications of the ABCD relation. Simplifications which are lossless are always preferred over the original full relation, while simplifications which lose constraint are still preferred if the reduction of complexity more …
U.S. Input-Output Data: A 1984 Update, Ronald E. Miller
U.S. Input-Output Data: A 1984 Update, Ronald E. Miller
Accounts and Data
This paper calls attention to the U.S. national input-output data for 1977 and the U.S. multiregional input-output data for the same year; both of these data sets became available during 1984. In particular, the commodity-by- industry accounting scheme which underpins both the 1972 and 1977 U.S. national models (as well as the U.S. 1977 multiregional model), is contrasted with the industry-by-industry approach of the original Leontief framework, which was the basis of the pre-1972 U.S. national tables.