Search results
Results from the WOW.Com Content Network
4D (4th Dimension, or Silver Surfer, as it was known during early development) is a relational database management system and integrated development environment developed by Laurent Ribardière. [ 3 ] 4D was created in 1984 [ 4 ] and had a slightly delayed public release for Macintosh in 1987 [ 5 ] [ 6 ] [ 7 ] with its own programming language .
4D Inc is a US-based subsidiary of 4D SAS and publisher of 4D.It was established in 1984 and initially led by Guy Kawasaki. [citation needed] 4D is the developer and publisher of 4D (or 4th Dimension). 4D was founded in 1984 when development began for Silver Surfer (early code-name for 4D) and had its initial product release in 1987 [1] [2] [3] with its own programming language.
CRAN site for Analysis of Spatial Data, R-Forge site: Analysis Full integration of spatial data analysis tools with the R: classes for spatial data; handling spatial data; reading and writing spatial data; point pattern analysis; geostatistics; disease mapping and areal data analysis; spatial regression and ecological analysis. R GPL-2: Google ...
The Fourth Dimension: Toward a Geometry of Higher Reality (1984) is a popular mathematics book by Rudy Rucker, a Silicon Valley professor of mathematics and computer science. It provides a popular presentation of set theory and four dimensional geometry as well as some mystical implications.
where i is the individual dimension, s is the series dimension, t is the time dimension, and h is the horizon dimension. A general multidimensional panel data regression model is written as y i s t h = α + X s i t h β + u s i t h . {\displaystyle y_{isth}=\alpha +X_{sith}\beta +u_{sith}.\,}
4D SAS is a French company owned by Laurent Ribardière. 4D has a US-based subsidiary 4D Inc. 4D was founded in 1984 when development began for Silver Surfer (early codename for 4D) and had its initial product release in 1987 [1] [2] [3] with its own programming language. [4]
The area arose owing to the emergence of many modern data sets in which the dimension of the data vectors may be comparable to, or even larger than, the sample size, so that justification for the use of traditional techniques, often based on asymptotic arguments with the dimension held fixed as the sample size increased, was lacking. [1] [2]
Four-dimensional space (4D) is the mathematical extension of the concept of three-dimensional space (3D). Three-dimensional space is the simplest possible abstraction of the observation that one needs only three numbers, called dimensions, to describe the sizes or locations of objects in the everyday world.