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Statistical Methods in Biology [electronic resource] : Design and Analysis of Experiments and Regression

Statistical Methods in Biology, Design and Analysis of Experiments and Regression by S.J. Welham and S.A. Gezan · Print version record · 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 FitChapter 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; Appen

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