Tornqvist-Theil indexes of outputs and inputs are constructed. These data are used to construct indexes of productivity growth over the postwar period. The productivity indexes can be derived from a flexible multioutput-multifactor representation of the structure of production constrained to constant returns to scale. Total factor productivity grew at an average annual rate of 1.75%, compared w...

DETECT is an innovative and relatively new nonparametric dimensionality assessment procedure used to identify mutually exclusive, dimensionally homogeneous clusters of items using a genetic algorithm (Zhang & Stout, 1999). Because the clusters of items are mutually exclusive, this procedure is most useful when the data display approximate simple structure. In many testing situations, however, d...

The structure of the human brain changes in a variety of ways as we age. While a sizeable literature has examined age-related differences in cortical thickness, and to a lesser degree, gyrification, here we examined differences in cortical complexity, as indexed by fractal dimensionality in a sample of over 400 individuals across the adult lifespan. While prior studies have shown differences in...

High-dimensional index structures (R* tree, SS-tree) are used for retrieval of multimedia objects in databases. As dimensionality increases, query performance in the index structures degrades. Dimensionality reduction algorithms are the only known solution that supports scalable object retrieval and satisfies precision of query results. By combining the methods from pattern recognition, multime...

The self-join finds all objects in a dataset within a threshold of each other defined by a similarity metric. As such, the self-join is a building block for the field of databases and data mining, and is employed in Big Data applications. In this paper, we advance a GPU-efficient algorithm for the similarity self-join that uses the Euclidean distance metric. The search-and-refine strategy is an...

Many different index structures have been proposed for spatial databases to support efficient query processing. However, most of these index structures suffer from an exponential dependency in processing time upon the dimensionality of the data objects. Due to this fact, an alternative approach for query processing on high-dimensional data is simply to perform a sequential scan over the entire ...

In this article, I present the second version of Citizenship Regime Inclusiveness Index (CITRIX 2.0). It measures inclusiveness regulations for immigrants’ access to citizenship across 23 OECD countries from 1980 2019, zooming in on four essential policy components: conditions regarding (1) birthright; (2) residence; (3) renunciation; and (4) integration. While explaining construction dataset, ...

Aggregation plays an important role in data warehousing and has received much attention to date. However, existing techniques do not suuciently address the issue of making the computation of multidimensional aggregates scale with increasing dimensionality. At the same time the beneet of taking full advantage of the hard disk geometry is often overlooked. This paper presents the Multiresolution ...

Abstract The paper develops a theoretical relationship between the polytropic index and temperature anisotropy that may characterize space plasmas. derivation is based on correlation among kinetic energies of particles with velocities described by anisotropic kappa distributions. coefficient depends effective dimensionality velocity distribution, which determined caused ambient magnetic field; ...

Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing high dimensional data is to first reduce the dimensionality of the data using Principal Component Analysis and then indexing the reduceddimensionality space using a multidimensional index structure. The above technique, ...