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Full Description
Designed to cover techniques for analysis of data in the animal sciences, this popular textbook provides an overview of the basic principles of statistics enabling the subsequent applications to be carried out with familiarity and understanding. Each chapter begins by introducing a problem with practical questions, followed by a brief theoretical background. Most topics are followed up with numerical examples to illustrate the methods described using data-sets from animal sciences and related fields. The same examples are then solved using the SAS software package. Key features of this third edition: - Updated throughout, and covers a wealth of new distributions and new material on non-normal dependent variables - Improved clarity of text and examples - Includes both basic techniques and more complex procedures to provide an essential resource whatever your level - Contains exercises and many worked examples in SAS. Written primarily for students and researchers in animal sciences, the text is also useful for those studying agricultural, biological, and veterinary sciences.
Contents
1: Presenting and Summarizing Data 2: Probability 3: Random Variables and their Distributions 4: Population and Sample 5: Estimation of Parameters 6: Hypothesis Testing 7: Simple Linear Regression 8: Correlation 9: Multiple Linear Regression 10: Curvilinear Regression 11: Fixed Effects One-way Analysis of Variance 12: Random Effects One-way Analysis of Variance 13: Mixed Models 14: Concepts of Experimental Design 15: Blocking 16: Change-over Designs 17: Factorial Experiments 18: Hierarchical or Nested Design 19: Split-plot Design 20: Analysis of Covariance 21: Repeated Measures 22: Analysis of Numerical Treatment Levels 23: Discrete, Categorical and other Non-normal Dependent Variables -: Solutions of Exercises Appendix A: Vectors and Matrices Appendix B: Statistical Tables
