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                                       Details for article 6 of 18 found articles
 
 
  Detecting and handling heteroscedasticity in yield trial data
 
 
Title: Detecting and handling heteroscedasticity in yield trial data
Author: Piepho, Hans-Peter
Appeared in: Communications in statistics
Paging: Volume 24 (1995) nr. 1 pages 243-274
Year: 1995
Contents: Data from yield trials conducted in different environments are frequently analysed by ordinary analysis of variance. One of the preconditions for such analyses is that error variances be homogeneous across treatments and replicates. If a mixed model with fixed genotypes and random environments is assumed, genotype-environmental interaction is a random effect. For the ordinary ANOVA to be valid in this case, it is then also required that interaction variances be homogeneous for different genotypes. This paper suggests Box's correction of the ANOVA degrees of freedom for the case of heterogeneous interaction and error variances Different estimators of the correction factors are compared via Monte carlo Simulation.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 6 of 18 found articles
 
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