Literature DB >> 5239571

A statistical model which combines features of factor analytic and analysis of variance techniques.

H F Gollob.   

Abstract

Mesh：

Year:  1968        PMID： 5239571     DOI： 10.1007/bf02289676

Source DB:  PubMed          Journal:  Psychometrika        ISSN： 0033-3123            Impact factor:   2.500


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  1 in total

1.  On social cognition.

Authors:  F Heider
Journal:  Am Psychol       Date:  1967-01
  1 in total
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Journal:  Theor Appl Genet       Date:  2004-09-15       Impact factor: 5.699

2.  Environmental response patterns in commercial classes of common bean (Phaseolus vulgaris L.).

Authors:  A Ghaderi; M W Adams; A W Saettler
Journal:  Theor Appl Genet       Date:  1982-03       Impact factor: 5.699

3.  Predictive and postdictive success of statistical analyses of yield trials.

Authors:  H G Gauch; R W Zobel
Journal:  Theor Appl Genet       Date:  1988-07       Impact factor: 5.699

4.  The analysis of the NSW wheat variety database. I. Modelling trial error variance.

Authors:  B R Cullis; F M Thomson; J A Fisher; A R Gilmour; R Thompson
Journal:  Theor Appl Genet       Date:  1996-01       Impact factor: 5.699

5.  The analysis of the NSW wheat variety database. II. Variance component estimation.

Authors:  B R Cullis; F M Thomson; J A Fisher; A R Gilmour; R Thompson
Journal:  Theor Appl Genet       Date:  1996-01       Impact factor: 5.699

6.  Interpreting genotype-by-environment interaction using redundancy analysis.

Authors:  F A van Eeuwijk
Journal:  Theor Appl Genet       Date:  1992-10       Impact factor: 5.699

7.  Robustness of statistical tests for multiplicative terms in the additive main effects and multiplicative interaction model for cultivar trials.

Authors:  H P Piepho
Journal:  Theor Appl Genet       Date:  1995-03       Impact factor: 5.699

8.  Best Linear Unbiased Prediction (BLUP) for regional yield trials: a comparison to additive main effects and multiplicative interaction (AMMI) analysis.

Authors:  H P Piepho
Journal:  Theor Appl Genet       Date:  1994-11       Impact factor: 5.699

9.  Use of AMMI and linear regression models to analyze genotype-environment interaction in durum wheat.

Authors:  M M Nachit; G Nachit; H Ketata; H G Gauch; R W Zobel
Journal:  Theor Appl Genet       Date:  1992-03       Impact factor: 5.699

10.  Factor regression for interpreting genotype-environment interaction in bread-wheat trials.

Authors:  C P Baril
Journal:  Theor Appl Genet       Date:  1992-05       Impact factor: 5.699
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