Summary. A method for deriving the analysis of variance for an experiment is presented and applied to grazing trials. A special feature of grazing trials, specifically utilized by our method, is that they involve at least two randomizations: treatments are randomized to field units (for example paddocks or plots) and field units are randomized to animals. Randomization results in the confounding (‘mixing up’) of terms and our method includes separate terms in the analysis of variance table for confounded terms so that all sources of variability in the experiment have terms for them included in the table and the confounding between the sources of variability in the experiment is explicitly displayed in the table. This information is employe...
This paper provides a brief discussion of the history of modern statistics, taking into account the ...
Initial Assumptions, We assume that it is standard practice to base an initial analysis of experimen...
Appropriate application of significance tests in statistical analyses requires an explicit statement...
Sound design for experiments on soil is based on two fundamental principles: replication and randomi...
Selection of appropriate treatment and experiment designs are essential elements in research. Howeve...
Analysis of variance (ANOVA) is based on two main assumptions, i.e., normality and homogeneity of th...
Sound design for experiments on soil is based on two fundamental principles: replication and randomi...
Grazing trials in which treatments are compared at only 1 grazing intensity greatly outnumber those ...
Animal production in grazing experiments depends both on treatment and on stocking rate. Production ...
The experimental unit for animal average daily gain (ADG) and gain/ha in grazing trials is the paddo...
The response from field trials is subject to random variation. This means that two neighbouring plot...
Funding limitations often restrict pasture replication in grazing research on rangeland. Consequentl...
<p>Sampling event is the repeated measure. Significant p-values at α<0.05 are in bold; df = degree o...
Esophageal fistulated animals are used to collect samples of the forage being consumed by animals in...
Designing and conducting effective research for range beef systems involves analysis of intended app...
This paper provides a brief discussion of the history of modern statistics, taking into account the ...
Initial Assumptions, We assume that it is standard practice to base an initial analysis of experimen...
Appropriate application of significance tests in statistical analyses requires an explicit statement...
Sound design for experiments on soil is based on two fundamental principles: replication and randomi...
Selection of appropriate treatment and experiment designs are essential elements in research. Howeve...
Analysis of variance (ANOVA) is based on two main assumptions, i.e., normality and homogeneity of th...
Sound design for experiments on soil is based on two fundamental principles: replication and randomi...
Grazing trials in which treatments are compared at only 1 grazing intensity greatly outnumber those ...
Animal production in grazing experiments depends both on treatment and on stocking rate. Production ...
The experimental unit for animal average daily gain (ADG) and gain/ha in grazing trials is the paddo...
The response from field trials is subject to random variation. This means that two neighbouring plot...
Funding limitations often restrict pasture replication in grazing research on rangeland. Consequentl...
<p>Sampling event is the repeated measure. Significant p-values at α<0.05 are in bold; df = degree o...
Esophageal fistulated animals are used to collect samples of the forage being consumed by animals in...
Designing and conducting effective research for range beef systems involves analysis of intended app...
This paper provides a brief discussion of the history of modern statistics, taking into account the ...
Initial Assumptions, We assume that it is standard practice to base an initial analysis of experimen...
Appropriate application of significance tests in statistical analyses requires an explicit statement...