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Book: Applied Statistics in Agricultural, Biological, and Environmental Sciences, 2017
Published by: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

 

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.

Table of Contents



    • Michael D. Casler
      Blocking Principles for Biological Experiments
      doi:10.2134/appliedstatistics.2015.0074
      Applied Statistics in Agricultural, Biological, and Environmental Sciences,
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    • Christel Richter and Hans-Peter Piepho
      Linear Regression Techniques
      doi:10.2134/appliedstatistics.2015.0080
      Applied Statistics in Agricultural, Biological, and Environmental Sciences,
      [ Abstract ][ Full Text ] [ PDF ] [ Tables Only ] [ Figures Only ] [ Get Permissions ]

    • Mateo Vargas, Barry Glaz, Jose Crossa and Alex Morgounov
      Analysis and Interpretation of Interactions of Fixed and Random Effects
      doi:10.2134/appliedstatistics.2015.0084
      Applied Statistics in Agricultural, Biological, and Environmental Sciences,
      [ Abstract ][ Full Text ] [ PDF ] [ Tables Only ] [ Figures Only ] [ Get Permissions ]

    • Michael D. Casler
      Power and Replication—Designing Powerful Experiments
      doi:10.2134/appliedstatistics.2015.0075
      Applied Statistics in Agricultural, Biological, and Environmental Sciences,
      [ Abstract ][ Full Text ] [ PDF ] [ Figures Only ] [ Get Permissions ]

    • Fernando Miguez, Sotirios Archontoulis and Hamze Dokoohaki
      Nonlinear Regression Models and Applications
      doi:10.2134/appliedstatistics.2016.0003
      Applied Statistics in Agricultural, Biological, and Environmental Sciences,
      [ Abstract ][ Full Text ] [ PDF ] [ Tables Only ] [ Figures Only ] [ Get Permissions ]

    • Kimberly Garland Campbell
      Errors in Statistical Decision Making
      doi:10.2134/appliedstatistics.2016.0007
      Applied Statistics in Agricultural, Biological, and Environmental Sciences,
      [ Abstract ][ Full Text ] [ PDF ] [ Tables Only ] [ Figures Only ] [ Get Permissions ]

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