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.
Author(s): Miroslav Kaps, William R. Lamberson
Publisher: CABI
Year: 2004
Language: English
Pages: 460
Tags: Биологические дисциплины;Матметоды и моделирование в биологии;
Preface......Page 12
1 Presenting and Summarizing Data......Page 15
2 Probability......Page 29
3 Random Variables and their Distributions......Page 40
4 Population and Sample......Page 67
5 Estimation of Parameters......Page 70
6 Hypothesis Testing......Page 79
7 Simple Linear Regression......Page 123
8 Correlation......Page 160
9 Multiple Linear Regression......Page 168
10 Curvilinear Regression......Page 199
11 One-way Analysis of Variance......Page 218
12 Concepts of Experimental Design......Page 277
13 Blocking......Page 286
14 Change-over Designs......Page 308
15 Factorial Experiments......Page 327
16 Hierarchical or Nested Design......Page 337
17 More about Blocking......Page 345
18 Split-plot Design......Page 356
19 Analysis of Covariance......Page 369
20 Repeated Measures......Page 379
21 Analysis of Numerical Treatment Levels......Page 398
22 Discrete Dependent Variables......Page 408
Solutions of Exercises......Page 433
Appendix A: Vectors and Matrices......Page 435
Appendix B: Statistical Tables......Page 440
References......Page 450
Subject Index......Page 453
