# Computational Statistics

Computational Statistics > 1999 > 14 > 1 > 91-108

Computational Statistics > 1999 > 14 > 1 > 79-89

**ParallAX**is a new user-friendly tool for visualizing and analyzing multivariate data using the parallel coordinates methodology. Complex queries are formed as logical combinations of a small number of

*atomic queries. Pre-processing*facilities like

*banding, outlier-pruning, constrained permutations selection, wrapping*and others are included. These and some more features are the basis towards...

Computational Statistics > 1999 > 14 > 1 > 53-77

Computational Statistics > 1999 > 14 > 1 > 23-38

Computational Statistics > 1999 > 14 > 1 > 7-22

Computational Statistics > 1999 > 14 > 1 > 1-6

Computational Statistics > 1999 > 14 > 1 > 147-159

*b*, Becker,...

Computational Statistics > 1999 > 14 > 1 > 39-51

Computational Statistics > 1999 > 14 > 1 > 109-146

Computational Statistics > 1999 > 14 > 2 > 161-169

Computational Statistics > 1999 > 14 > 2 > 213-231

Computational Statistics > 1999 > 14 > 2 > 233-250

Computational Statistics > 1999 > 14 > 2 > 197-211

Computational Statistics > 1999 > 14 > 2 > 251-261

*α*

_{i})

_{1≤i≤N}and have to be less than or equal to a given

*X*value.Constraints over the cardinality of combinations can be proposed. When calculation...

Computational Statistics > 1999 > 14 > 2 > 171-187

Computational Statistics > 1999 > 14 > 2 > 277-292

*new*unknown object to one of two populations, 0 or 1, on the basis of a

*q*-dimensional vector

**x**= (

*x*

_{1}, …

*x*

_{q}), where one of the populations, for example population 0, is the prevalent class. Assignment rules are developed from learning samples of known objects, that is, objects known to come from each of the two populations. Since population...

Computational Statistics > 1999 > 14 > 2 > 263-276

Computational Statistics > 1999 > 14 > 3 > 293-314

Computational Statistics > 1999 > 14 > 3 > 339-353

*Q*proposed by...