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Details for article 4 of 8 found articles
| Title: |
Jacobians of singular transformations with applications to statistical distribution theory |
| Author: |
Saw, John G. |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 1 (1973) nr. 1 pages 81-91 |
| Year: |
1973 |
| Contents: |
In the statistical distribution theory, frequent use is made of one-to-one transformations from an n×1 vector, x, of random variables to an n×1 vector, u, of random variables. In the context of this note, such a transformation would be described as nonsingular. It is sometimes advantageous to transform from a set of n variables to a set of n+m variables. With m positive, the transformation is described as singular The purpose of this note is to give the analog of the jacobian of the transformation in the singular case and to establish a method by means of which it can usually be found quite easily. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 4 of 8 found articles
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