Statistical Methods in Biology

Design and Analysis of Experiments and Regression

S.J. Welham, S.A. Gezan, S.J. Clark, A. Mead

• Publisher: Chapman and Hall/CRC
• Year: 2014
• Print ISBN:
  9781439808788
• Edition: 1
• eBook ISBN:
  9781439898055
• Topic: Mathematics
• Subtopic: Probability & Statistics
• Index: Mathematics

Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural scien

Table of contents

• Front Cover
• Contents
• Preface
• Authors
• Chapter 1: Introduction
• Chapter 2: A Review of Basic Statistics
• Chapter 3: Principles for Designing Experiments
• Chapter 4: Models for a Single Factor
• Chapter 5: Checking Model Assumptions
• Chapter 6: Transformations of the Response
• Chapter 7: Models with a Simple Blocking Structure
• Chapter 8: Extracting Information about Treatments
• Chapter 9: Models with More Complex Blocking Structure
• Chapter 10: Replication and Power
• Chapter 11: Dealing with Non-Orthogonality
• Chapter 12: Models for a Single Variate: Simple Linear Regression
• Chapter 13: Checking Model Fit
• Chapter 14: Models for Several Variates: Multiple Linear Regression
• Chapter 15: Models for Variates and Factors
• Chapter 16: Incorporating Structure: Linear Mixed Models
• Chapter 17: Models for Curved Relationships
• Chapter 18: Models for Non-Normal Responses: Generalized Linear Models
• Chapter 19: Practical Design and Data Analysis for Real Studies
• References
• Appendix A: Data Tables
• Appendix B: Quantiles of Statistical Distributions
• Appendix C: Statistical and Mathematical Results
• Back Cover