In multivariate discrimination by the discrete kernel method the allocation rule is Bayrisk consistent if the smoothing parameter is choeen by maximizstion of the leaving-one-out nonerror rate. It is shown that oonaistency still holda if the leeving-one-out nonerror rate is replaced by a smoothed ve
β¦ LIBER β¦
Choice of Smoothing Parameters for Direct Kernels in Discrimination
β Scribed by PD Dr. Gerhard Tutz
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 445 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Smoothing for Discrete Kernels in Discri
β
Dr. Gerhard Tutz
π
Article
π
2007
π
John Wiley and Sons
π
English
β 514 KB
Data-driven choice of the smoothing para
β
JosΓ© E. ChacΓ³n
π
Article
π
2009
π
John Wiley and Sons
π
French
β 457 KB
Choice of scale for cubic smoothing spli
β
Patrick Royston
π
Article
π
2000
π
John Wiley and Sons
π
English
β 192 KB
The determination of the functional form of the relationship between an outcome variable and one or more continuous covariates is an important aspect of the modelling of medical data. For correct interpretation of the data it is essential that the functional form be speci"ed at least approximately c
ADA Amendments Act β’ The Employee Free C
β
Scott A. Carroll; Steven R. Miller
π
Article
π
2009
π
John Wiley and Sons
π
English
β 138 KB