Permutation Tests to Identify Significant Constraint or Promotion Within Biological Scatterplots
ABSTRACT Scatterplots of biological datasets often have no‐data zones, which suggest constraint or promotion of dependent variables. Although methods exist to estimate boundary lines—that is, to fit lines to the edges of scatters of data points—there are, to our knowledge, none available to assess t...
Saved in:
| Main Authors: | Anthony J. Mills, Ruan vanMazijk |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-11-01
|
| Series: | Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ece3.70584 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explore poverty with statistical modeling: The bivariate polynomial binary logit regression (BPBLR)
by: Vita Ratnasari, et al.
Published: (2025-06-01) -
The Principal Component Linear Spline Quantile Regression Model in Statistical Downscaling for Rainfall Data
by: Andi Yulianti, et al.
Published: (2024-04-01) -
COMPARISON BETWEEN BAYESIAN QUANTILE REGRESSION AND BAYESIAN LASSO QUANTILE REGRESSION FOR MODELING POVERTY LINE WITH PRESENCE OF HETEROSCEDASTICITY IN WEST SUMATRA
by: Lilis Harianti Hasibuan, et al.
Published: (2025-07-01) -
Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI
by: Jian Liu, et al.
Published: (2025-04-01) -
Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach
by: Derya Topdağ, et al.
Published: (2020-12-01)