A stopping rule for structure-preserving variable selection
โ Scribed by W. J. Krzanowski
- Book ID
- 104649599
- Publisher
- Springer US
- Year
- 1996
- Tongue
- English
- Weight
- 653 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0960-3174
No coin nor oath required. For personal study only.
โฆ Synopsis
A stopping rule is provided for the backward elimination process suggested by Krzanowski (1987a) for selecting variables to preserve data structure. The stopping rule is based on perturbation theory for Procrustes statistics, and a small simulation study verifies its suitability. Some illustrative examples are also provided and discussed.
๐ SIMILAR VOLUMES
One of the key issues in symbolic dynamic filtering (SDF) is how to obtain a lower bound on the length of symbol blocks for computing the state probability vectors of probabilistic finite-state automata (PFSA). Having specified an absolute error bound at a confidence level, this short work formulate
## Abstract In the multifacility location problem, a number of new facilities are to be located so as to minimize a sum of weighted distances. Recently, a lower bound on the optimal value was developed, for use in deciding when to stop an iterative solution procedure. We develop a stronger bound th