Overview

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.

Full Product Details

Author:   Miroslav Kaps (formerly University of Zagreb, Croatia) ,  William R. Lamberson (University of Missouri, USA)
Publisher:   CABI Publishing
Imprint:   CABI Publishing
Edition:   3rd edition
Dimensions:   Width: 18.90cm , Height: 3.20cm , Length: 24.60cm
Weight:   1.377kg
ISBN:  

9781786390356

ISBN 10:   1786390353
Pages:   562
Publication Date:   23 June 2017
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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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

Reviews

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

Author Information

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

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