E-Books durchsuchen
Grade Models and Methods for Data Analysis [2004]
- 1
-
Grade Data Analysis — A First Look
- 13
-
The Grade Approach
- 51
-
Univariate Lilliputian Model I
- 91
-
Univariate Lilliputian Model II
- 139
-
Asymmetry and the inverse concentration set
- 167
-
Discretization and regularity
- 185
-
Preliminary concepts of bivariate dependence
- 217
-
Dependence Lilliputian Model
- 267
-
Grade Correspondence Analysis and outlier detection
- 297
-
Cluster analysis based on GCA
- 325
-
Regularity and the number of clusters
- 339
-
Grade approach to the analysis of finite data matrices
- 385
-
Inequality measures for multivariate distributions
- 425
-
Case studies with multivariate data
- 455
-
The GradeStat program