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

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Information

Publisher

Chapman and Hall/CRC

Year

2014

ISBN

9781439898055

Edition

Topic

Mathematics

Subtopic

Probability & Statistics

Index

Mathematics

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