Robustness of analysis of covariance (ancova) under the distributions assumptions and variance homogeneity
<b>Aim: </b>As in all parametric methods, the ANCOVA method assumes that normal distributions of errors, homogeneity of variances, and error terms are independent of each other. However, unusual distributions in practice are more common than normal distribution. In this study, it is aime...
Saved in:
Main Authors: | Can Ateş, Özlem Kaymaz, Mustafa Agah Tekindal, Beyza Doğanay Erdoğan |
---|---|
Format: | Article |
Language: | English |
Published: |
Selcuk University Press
2020-03-01
|
Series: | Eurasian Journal of Veterinary Sciences |
Subjects: | |
Online Access: | http://eurasianjvetsci.org/pdf.php3?id=1279 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Minimum Variance Beamforming Based on Covariance Matrix Reconstruction Using Orthogonal Vectors
by: Saman Rezaeizadeh, et al.
Published: (2023-09-01) -
The variance-gamma ratio distribution
by: Gaunt, Robert E., et al.
Published: (2023-10-01) -
Some generalized inequalities involving extended beta and gamma functions for several variables
by: S. Mubeen, et al.
Published: (2024-11-01) -
Imputing Covariance for Meta-Analysis in the Presence of Interaction
by: Enwu Liu, et al.
Published: (2024-12-01) -
On shrinkage covariance estimators: how inefficient is 1/N strategy of covariance estimation for portfolio selection in foreign exchange market?
by: Muhammad Husnain, et al.
Published: (2024-12-01)