Record Details

Non-parametric stability measures for analysing non-normal data

Indian Agricultural Research Journals

View Archive Info
 
 
Field Value
 
Title Non-parametric stability measures for analysing non-normal data
 
Creator PAUL, A K
PAUL, RANJIT KUMAR
DAS, SAMARENDRA
BEHERA, S K
DHANDAPANI, A
 
Subject Genotype-environment interaction, Non-parametric measures, Power of the test, Stability, Type-1 error
 
Description In the present investigation, five different non-parametric stability measures are proposed based on the ranks of the genotypes to assess genotype-environment interaction, when the data does not satisfy the normality assumption. The behaviours of developed stability indices are studied by simulation technique under the assumption of normal as well as non-normal distributions such as log-normal, gamma, beta and t - distributions. These indices are compared empirically by using power of the test and type-I error. Results from the non-parametric analysis with the help of simulation study demonstrated that the proposed index A4 outperformed other indices in normal as well as nonnormal data scenarios.
 
Publisher The Indian Journal of Agricultural Sciences
 
Contributor —
 
Date 2015-08-07
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/50857
 
Source The Indian Journal of Agricultural Sciences; Vol 85, No 8 (2015)
0019-5022
 
Language eng
 
Relation http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/50857/21641
 
Rights Copyright (c) 2015 The Indian Journal of Agricultural Sciences