Statistical experiment design and interpretation : an introduction with agricultural examples

著者

    • Collins, Claire A.
    • Seeney, Frances M.

書誌事項

Statistical experiment design and interpretation : an introduction with agricultural examples

Claire A. Collins and Frances M. Seeney

Wiley, c1999

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

Acknowledgements INTRODUCTION Notation A little history Population versus samples PLANNING Formulating the idea Defining objectives Defining the population Formulating hypotheses Hypothesis testing Anticipating treatment differences DESIGN Variables Choosing the treatments Constraints Replication Blocking Randomization Covariants Confounding TRIAL STRUCTURE Considerations Single-treatment factor designs Multi-treatment factor designs Some other designs DATA ENTRY AND EXPLORATION Data entry Data Data checking Data exploration ANALYTICAL TECHNIQUES Parametric techniques Non-parametric techniques Comparison of parametric and non-parametric techniques OTHER STATISTICAL TECHNIQUES Multivariate analysis Time series analysis ASPECTS OF COMPUTING APPENDICES Glossary of Statistical Terms Analysis of Variance Formulae INDEX

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