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Comparing double minimization and zigzag algorithms in joint regression analysis: the complete case
DG Pereira, JT Mexia - Journal of Statistical Computation and …, 2010 - Taylor & Francis
Joint Regression Analysis is a widely used technique for cultivar comparison. For each
cultivar a linear regression is adjusted on a non-observable regressor: the environmental …
cultivar a linear regression is adjusted on a non-observable regressor: the environmental …
Reproducibility of joint regression analysis
DG Pereira, JT Mexia - Colloquium Biometryczne, 2003 - agro.icm.edu.pl
Reproducibility of joint regression analysis - Colloquium Biometryczne - Tom 33 (2003) - AGRO
- Yadda Przejdź do menu głównego Przejdź do treści Baner z napisem BAZA AGRO PL | EN …
- Yadda Przejdź do menu głównego Przejdź do treści Baner z napisem BAZA AGRO PL | EN …
[PDF][PDF] Maximum Likelihood and L2 Environmental Indices in Joint Regression Analysis
DG Pereira - 2022 - sciendo.com
This paper describes an iterative analysis of incomplete genotype× environment data. L2
environmental indices were introduced to enable the use of Joint Regression Analysis (JRA) …
environmental indices were introduced to enable the use of Joint Regression Analysis (JRA) …
Joint Regression Analysis applied to genotype stability evaluation over years
Interakcja genotypowo-środowiskowa jest jednym z głównych źródeł różnic w plonowaniu
odmian. Istnienie i zakres interakcji determinuje przydatność odmian w różnych …
odmian. Istnienie i zakres interakcji determinuje przydatność odmian w różnych …
[PDF][PDF] Analysis of residuals and adjustment in JRA
TA Oliveira, JT Mexia - Biometrical Letters, 2008 - core.ac.uk
SUMMARY Joint Regression Analysis (JRA) is based in linear regression applied to yields,
adjusting one linear regression per cultivar. The environmental indexes in JRA correspond …
adjusting one linear regression per cultivar. The environmental indexes in JRA correspond …
Application of Selective F Tests in Joint Regression Analysis
DG Pereira, JT Mexia - Journal of Statistical Theory and Practice, 2008 - Taylor & Francis
Abstract Joint Regression Analysis (JRA) has been widely used to compare cultivars. In this
technique a linear regression is adjusted per cultivar. The slope of each regression …
technique a linear regression is adjusted per cultivar. The slope of each regression …
Joint-Regression Analysis and Incorporation of Environmental Variables in Stochastic Frontier Production Function: An Application to Experimental Data of Winter Rye
DG Pereira, A Sampaio - … , Extreme Values, Markov Processes and Other …, 2013 - Springer
This chapter joins the main properties of two specific regression techniques, joint-regression
analysis (JRA) and stochastic frontier approach (SFA) in the analysis of experimental data …
analysis (JRA) and stochastic frontier approach (SFA) in the analysis of experimental data …
[PDF][PDF] Incidências-Modelo logit e medidas aproximadas de impactos ambientais
SCD NUNES - 2006 - researchgate.net
INCIDˆENCIAS - MODELO LOGIT E MEDIDAS APROXIMADAS DE IMPACTOS
AMBIENTAIS 2 Volumes (Vol. II - Anexos) Page 1 SANDRA CRISTINA DIAS NUNES …
AMBIENTAIS 2 Volumes (Vol. II - Anexos) Page 1 SANDRA CRISTINA DIAS NUNES …
Overview of Joint Regression Analysis
D Pereira - 2007 - dspace.uevora.pt
Joint Regression Analysis (JRA) has been widely used to compare cultivars. In this
technique a linear regression is adjusted per cultivar. The slope of each regression …
technique a linear regression is adjusted per cultivar. The slope of each regression …
Connectedness and environmental indexes application to grapevines
JT Mexia, I Pinto - I International Symposium on Grapevine Growing …, 2003 - actahort.org
Given a group of experiments designed separately it is shown how to check for
connectedness and, if this condition holds, to use L 2 environmental indexes to carry out a …
connectedness and, if this condition holds, to use L 2 environmental indexes to carry out a …