Werner Schubö
Biographic Data
| ID | 9252043 |
|---|---|
| NAME | Werner Schubö |
| GIVEN NAMES | Werner |
| FAMILY NAME | Schubö |
| SIGNATURE | SCHUBÖ W |
| AFFILIATIONS | Institut für Psychologie, Universität München, Germany |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1990 |
| LATEST PUBLICATION YEAR | 1993 |
| H-INDEX | 0 |
Probability Distributions of Minkowski Distances between Discrete Random Variables
Minkowski distances are frequently used to indicate the similarity of two vectors in a n-dimensional space. This paper is about the probability distributions of Minkowski distances (e.g., City-block distances and Euclidean distances) between vectors in spaces spanned by n orthogonal, discrete valued axes. Formulas to compute the distributions of Minkowski distances are developed, critical values for tests of significance are tabled, and a normal …
Mean and Variance of Viernsteins ψ
This paper considers the mean and variance of the statistic ψ * , which among others is useful in measuring agreement between two raters. Under the assumption of independent random raters, the distribution of ψ * and a test of significance are given. As the G index of Holley and Guilford is a special case of ψ * , the results may be applied for this index as well
No prominent works on this page.
Mean and Variance of Viernsteins ψ
This paper considers the mean and variance of the statistic ψ * , which among others is useful in measuring agreement between two raters. Under the assumption of independent random raters, the distribution of ψ * and a test of significance are given. As the G index of Holley and Guilford is a special case of ψ * , the results may be applied for this index as well
Probability Distributions of Minkowski Distances between Discrete Random Variables
Minkowski distances are frequently used to indicate the similarity of two vectors in a n-dimensional space. This paper is about the probability distributions of Minkowski distances (e.g., City-block distances and Euclidean distances) between vectors in spaces spanned by n orthogonal, discrete valued axes. Formulas to compute the distributions of Minkowski distances are developed, critical values for tests of significance are tabled, and a normal …
Computer Science (2 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Statistical Methods and Models (1 work) · Analysis of variance (1 work) · Combinatorics (1 work) · Econometrics (1 work) · Euclidean distance (1 work) · Euclidean geometry (1 work) · Euclidean space (1 work)