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Biostatistics for Animal Science

Biostatistics for Animal Science Edition 3

Miroslav Kaps and William R. Lamberson
Paperback
July 2017
9781786390356
More details
  • Publisher
    CABI
  • Published
    17th July 2017
  • ISBN 9781786390356
  • Language English
  • Pages 568 pp.
  • Size 7.5" x 9.625"
  • Images figures & formulas
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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 commonly used in animal sciences. Each chapter begins by introducing a problem with practical questions, followed by a brief theoretical background, and is supplemented with an abundance of examples in SAS from animal sciences and related fields.

Key features:

* New, larger format and updated throughout to provide an essential resource whatever your level

* Now covers a wealth of new distributions and new material on non-normal dependent variables

* Includes both basic techniques and more complex procedures for a fully comprehensive coverage

* Contains exercises and many worked examples in SAS for practice and revision.

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

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