Biostatistics for Animal Science 3rd Edition

Biostatistics for Animal Science 3rd Edition

By Kaps, Miroslav; Lamberson, Williamm Published: 2017, FileType: EPUB

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. Statistics for Veterinary and Animal Science 3rd Edition PDF

The purpose of the book is to help students and researchers to learn about and apply appropriate experimental designs and statistical methods. It has been written mainly for students and researchers of the animal sciences; however, we believe that many sections of the book may be of interest for those studying other agricultural, biological and veterinary sciences. The main structure in this third edition follows those from the previous editions; however, some topics were extended and new sections were added. Hopefully, the clarity of the text and examples are improved.

In this third edition, readers are again presented basic principles of statistics so they will be able to follow subsequent applications with familiarity and understanding. Later chapters cover statistical methods most frequently used in the animal sciences for analysis of continuous and categorical variables. Likelihood theory had been given greater attention in this edition, and simple numerical examples should make it easier to understand basic concepts. Nevertheless, the reader can comfortably skip those sections and turn attention to more practical and concrete applications. There is now an extended section about analyzing discrete and categorical variables with application and examples.

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