A note on distortions induced by truncation with applications to linear regression systems
We explore the effects of truncation on the joint distribution of the observable random variables. A general formula for the distortion induced by truncation in the least-squares coefficients is presented. The implications of our derivations are illustrated with an example.
Year of publication: |
2008
|
---|---|
Authors: | Marchetti, Giovanni M. ; Stanghellini, Elena |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 78.2008, 6, p. 824-829
|
Publisher: |
Elsevier |
Keywords: | Conditional independence model Directed acyclic graphs Incidental truncation Selection bias Truncated normal distribution |
Saved in:
Saved in favorites
Similar items by person
-
Marchetti, Giovanni M., (2006)
-
Parameterizations and Fitting of Bi-directed Graph Models to Categorical Data
LUPPARELLI, MONIA, (2009)
-
Parameter Identifiability of Discrete Bayesian Networks with Hidden Variables
Allman, Elizabeth S., (2015)
- More ...