Description

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Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS This book is being published according to the "Just Published" model, with more chapters to be published online as they are completed.

About the Author

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Barry Glaz retired as a Research Agronomist of the USDA-ARS Sugarcane Field Station in Canal Point, Florida. His major research interests were 1) to identify the agronomic limits of and improve the tolerance of sugarcane to periodic water levels at or near the soil surface, and 2) to contribute to the development of high-yielding, disease resistant/tolerant sugarcane cultivars. Kathleen M. Yeater has a Ph.D. in Biometry & Statistics from the University of Illinois and is currently a Statistician for the USDA-ARS Plains Area. Her area of expertise focuses on applied statistics issues in the agricultural sciences, with a special affinity for experimental design and multivariate statistical approaches in the ever-evolving -omics technologies.