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Biostatistics for Animal Science
by Miroslav Kaps, William R. Lamberso
Pages: 460
Publisher: --
Edition: 1st., 2004
Language: English
ISBN: 978-0851998208
Description
Designed to cover techniques for analysis of data in the animal sciences, this book provides a complete source of information for students and researchers with a basic statistical background. The first part of the book provides an overview of the basic principles of statistics. The second half covers more complex applications and detailed procedures for analyzing designs commonly used in research in animal sciences.
Contents
Chapter 1 Presenting and Summarizing Data
Chapter 2 Probability
Chapter 3 Random Variables and Their Distributions
Chapter 4 Population and Sample
Chapter 5 Estimation of Parameters
Chapter 6 Hypothesis Testing
Chapter 7 Simple Linear Regression
Chapter 8 Correlation
Chapter 9 Multiple Linear Regression
Chapter 10 Curvilinear Regression
Chapter 11 One-Way Analysis of Variance
Chapter 12 Concepts of Experimental Design
Chapter 13 Blocking
Chapter 14 Change-Over Designs
Chapter 15 Factorial Experiments
Chapter 16 Hierarchical Or Nested Design
Chapter 17 More About Blocking
Chapter 18 Split-Plot Design
Chapter 19 Analysis of Covariance
Chapter 20 Repeated Measures
Chapter 21 Analysis of Numerical Treatment Levels
Appendix A: Vectors and Matrices
Appendix B: Statistical Tables
by Miroslav Kaps, William R. Lamberso
Pages: 460
Publisher: --
Edition: 1st., 2004
Language: English
ISBN: 978-0851998208
Description
Designed to cover techniques for analysis of data in the animal sciences, this book provides a complete source of information for students and researchers with a basic statistical background. The first part of the book provides an overview of the basic principles of statistics. The second half covers more complex applications and detailed procedures for analyzing designs commonly used in research in animal sciences.
Contents
Chapter 1 Presenting and Summarizing Data
Chapter 2 Probability
Chapter 3 Random Variables and Their Distributions
Chapter 4 Population and Sample
Chapter 5 Estimation of Parameters
Chapter 6 Hypothesis Testing
Chapter 7 Simple Linear Regression
Chapter 8 Correlation
Chapter 9 Multiple Linear Regression
Chapter 10 Curvilinear Regression
Chapter 11 One-Way Analysis of Variance
Chapter 12 Concepts of Experimental Design
Chapter 13 Blocking
Chapter 14 Change-Over Designs
Chapter 15 Factorial Experiments
Chapter 16 Hierarchical Or Nested Design
Chapter 17 More About Blocking
Chapter 18 Split-Plot Design
Chapter 19 Analysis of Covariance
Chapter 20 Repeated Measures
Chapter 21 Analysis of Numerical Treatment Levels
Appendix A: Vectors and Matrices
Appendix B: Statistical Tables
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