Literature DB >> 2350567

A model for the analysis of growth data from designed experiments.

B R Cullis1, C A McGilchrist.   

Abstract

A model for growth data from designed experiments is presented which extends the stochastic differential equation of Sandland and McGilchrist (1979, Biometrics 35, 255-272). Residual maximum likelihood (REML) is used to estimate the parameters of the model. The model is easily extended to incomplete data and is shown to overcome some of the practical difficulties encountered with the profile model. The procedure is applied to data from experiments on pigs and sheep.

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Year:  1990        PMID: 2350567

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  2 in total

1.  Statistical analysis of structural compensatory growth: how can we reduce the rate of false detection?

Authors:  Alfredo G Nicieza; David Alvarez
Journal:  Oecologia       Date:  2008-10-31       Impact factor: 3.225

2.  Use of Repeated Measures Data Analysis for Field Trials with Annual and Perennial Crops.

Authors:  Paulo Pagliari; Fernando Shintate Galindo; Jeffrey Strock; Carl Rosen
Journal:  Plants (Basel)       Date:  2022-07-05
  2 in total

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