Unbiased statistical length analysis of linear features: adapting survival analysis to geological applications
<p>A proper quantitative statistical characterization of fracture length or height is of paramount importance when analysing outcrops of fractured rocks. Past literature suggests adopting a non-parametric approach, such as circular scanlines, for the unbiased estimation of the fracture-length...
Saved in:
| Main Authors: | G. Benedetti, S. Casiraghi, D. Bertacchi, A. Bistacchi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-05-01
|
| Series: | Solid Earth |
| Online Access: | https://se.copernicus.org/articles/16/367/2025/se-16-367-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An empirical Bayes derivation of best linear unbiased predictors
by: Rohana J. Karunamuni
Published: (2002-01-01) -
ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression
by: Jingyi Zhang, et al.
Published: (2025-01-01) -
An Unbiased Two-Parameter Estimation with Prior Information in Linear Regression Model
by: Jibo Wu
Published: (2014-01-01) -
On Empirical Best Linear Unbiased Predictor under s Linear Mixed Model with Correlated Random Effects
by: Małgorzata K. Krzciuk
Published: (2020-01-01) -
Multitrait genome-wide association best linear unbiased prediction of genetic values
by: Theo Meuwissen, et al.
Published: (2025-03-01)