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Biostatistics for Animal Science Edition 3
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
- Request Exam Copy
$80.00
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:
- Bulletin, World Organisation for Animal Health
“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.”
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
Miroslav Kaps
Miroslav Kaps is at University of Zagreb, Croatia.
William R. Lamberson
William R. Lamberson is at University of Missouri.