Clearly written and free of statistical jargon, this invaluableguide concentrates on the practicalities of statistical analysisfor anyone involved with agricultural research.
Each section starts with the key points, giving a quick referenceto the contents and plenty of examples using 'real' data. Successful experiment design starts with a statement of aims. Theauthors guide the reader through planning an experiment, includingdefining objectives, considering treatments, measurements ofinterest and the time and timing of assessments. Advantages anddisadvantages of different experiment designs and the importance ofdata exploration and graphical presentation are covered, as aredata collection, storage, validation and verification. Statisticaltechniques include the t-test, anlaysis of variance, basicregression analysis and non-parametric techniques. Assumptionsinherent to these techniques are clearly identified (bearing inmind the principles and aims) without losing the reader instatistical theory. All of the techniques are illustrated withworked examples and give full interpretation of the results.Formulae are kept to a minimum in the main text, but are given infull in the appendix.
Clearly written and free of statistical jargon, this invaluableguide concentrates on the practicalities of statistical analysisfor anyone involved with agricultural research.
Each section starts with the key points, giving a quick referenceto the contents and plenty of examples using 'real' data. Successful experiment design starts with a statement of aims. Theauthors guide the reader through planning an experiment, includingdefining objectives, considering treatments, measurements ofinterest and the time and timing of assessments. Advantages anddisadvantages of different experiment designs and the importance ofdata exploration and graphical presentation are covered, as aredata collection, storage, validation and verification. Statisticaltechniques include the t-test, anlaysis of variance, basicregression analysis and non-parametric techniques. Assumptionsinherent to these techniques are clearly identified (bearing inmind the principles and aims) without losing the reader instatistical theory. All of the techniques are illustrated withworked examples and give full interpretation of the results.Formulae are kept to a minimum in the main text, but are given infull in the appendix.
A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data...
Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results. Features numerous examples using actual engineering and scientific studies.
Presents...
Statistical Design and Analysis of Experiments embraces a holistic approach by building a solid foundation of the theoretical aspects followed by easily relatable numerical examples. Examples are...
This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers...
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