Statistical Experiment Design and Interpretation concentrates on the practicalities of statistical analysis for anyone involved in agricultural research. The presentation has not been cluttered with statistical jargon; there are key points at the start of each section giving a quick reference to the contents and plenty of examples using 'real' data. Successful experiment design starts with a statement of aims. The authors guide the reader through planning an experiment, including defining objectives, considering the treatments, measurements of interest and the time and timing of assessments.…mehr
Statistical Experiment Design and Interpretation concentrates on the practicalities of statistical analysis for anyone involved in agricultural research. The presentation has not been cluttered with statistical jargon; there are key points at the start of each section giving a quick reference to the contents and plenty of examples using 'real' data. Successful experiment design starts with a statement of aims. The authors guide the reader through planning an experiment, including defining objectives, considering the treatments, measurements of interest and the time and timing of assessments. Advantages and disadvantages of different experiment designs and the importance of data exploration and graphical presentation are covered, as are data collection, storage, validation and verification. Statistical techniques include the t-test, analysis of variance, basic regression analysis and non-parametric techniques. Assumptions inherent to these techniques are clearly identified (bearing in mind the principles and aims) without losing the reader in statistical theory. All of the techniques are illustrated with worked examples and give full interpretation of the results. Formulae are kept to a minimum in the main text, but are given in full in the appendix.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Liam Collins is the executive director of the Madison Policy Forum, a senior fellow with New America, and a permanent member with the Council on Foreign Relations. Colonel (retired) Collins served in the US Army for 27 years. As a career Special Forces officer, he conducted multiple operational and combat deployments to Afghanistan, Iraq, Bosnia, South America, and the Horn of Africa. In Iraq, Liam conducted operations in Baghdad, Fallujah, Ramadi, and many other cities. Liam retired from the military in 2019 as the founding director of the Modern War Institute and the director of the Department of Military Instruction at the United States Military Academy at West Point. He holds a Bachelor of Science degree in Mechanical Engineering (Aerospace) from the United States Military Academy, and a Master's in Public Affairs and a PhD from Princeton University's School of Public and International Affairs.
Inhaltsangabe
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
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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