Statistical Methods in Agriculture and Experimental Biology
eBook - ePub

Statistical Methods in Agriculture and Experimental Biology

  1. 488 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistical Methods in Agriculture and Experimental Biology

About this book

The third edition of this popular introductory text maintains the character that won worldwide respect for its predecessors but features a number of enhancements that broaden its scope, increase its utility, and bring the treatment thoroughly up to date. It provides complete coverage of the statistical ideas and methods essential to students in agriculture or experimental biology. In addition to covering fundamental methodology, this treatment also includes more advanced topics that the authors believe help develop an appreciation of the breadth of statistical methodology now available. The emphasis is not on mathematical detail, but on ensuring students understand why and when various methods should be used.
New in the Third Edition:

  • A chapter on the two simplest yet most important methods of multivariate analysis
  • Increased emphasis on modern computer applications
  • Discussions on a wider range of data types and the graphical display of data
  • Analysis of mixed cropping experiments and on-farm experiments

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Yes, you can access Statistical Methods in Agriculture and Experimental Biology by Roger Mead in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. 1 Introduction
  8. 2 Probability and Distributions
  9. 3 Estimation and Hypothesis Testing
  10. 4 A Simple Experiment
  11. 5 Control of Random Variation by Blocking
  12. 6 Particular Questions About Treatments
  13. 7 More on Factorial Treatment Structure
  14. 8 The Assumptions Behind the Analysis
  15. 9 Studying Linear Relationships
  16. 10 More Complex Relationships
  17. 11 Linear Models
  18. 12 Nonlinear Models
  19. 13 The Analysis of Proportions
  20. 14 Models and Distributions for Frequency Data
  21. 15 Making and Analyzing Several Experimental Measurements
  22. 16 Analyzing and Summarizing Many Measurements
  23. 17 Choosing the Most Appropriate Experimental Design
  24. 18 Sampling Finite Populations
  25. References
  26. Appendix
  27. Index