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Biostatistics for Animal Science


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Table of 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

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Suitable for postgraduate students of animal science and veterinary science.

About the Author

Miroslav Kaps is at University of Zagreb, Croatia. William R. Lamberson is at University of Missouri.


Review of the Second Edition:
"Designed to cover techniques for analysis of data in the animal sciences, this textbook provides an overview of the basic principles of statistics enabling the subsequent applications to be carried out with familiarity and understanding, followed by more complex applications and detailed procedures... and is supplemented with an abundance of examples in SAS from animal science related fields."--Bulletin, World Organisation for Animal Health

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