The design and analysis of experiments is typically taught as part of a second level course in statistics. Many different types and levels of students will require this information in order to progress with their studies and research. This text is thus offered as an introduction to this wide ranging and important subject. It has the advantage of explaining in an accessible way the basic principles behind good experimental thinking, planning and action. The authors have used their experience in teaching related courses to separate out what seem to be the essential basic contents for everyone, and to combine with these some of the most useful additional topics in biological, industrial, medical, and environmental experimentation.

1 Collecting Data by Experiments 2 Basic Statistical Methods: the Normal Distribution 3 Principles of Experimental Design 4 The Analysis of Data From Orthogonal Designs Appendix 4A Cochran's Theorem o Quadratic Forms 5 Factorial Experiments 6 Experiments with Many Factors: Confounding and Fractional Replication Appendix 6A Methods of Confounding in 2p Factorial Experiments 7 Confounding main Effects-Split-Plot Designs 8 Industrial Experimentation 9 Response Surfaces and mixture Designs 10 The Analysis of Covariance 11 Balanced Incomplete Blocks and General Non-Orthogonal Block Designs Appendix 11A Generalized Inverse Matrix by Spectral Decomposition Appendix 11B Natural Contrasts and Effective Replication 12 More Advanced Designs 13 Random Effects Models: Variance Components and Sampling Schemes 14 Computer Output Using SAS

등록된 사용후기

사용후기 쓰기 새 창 더보기

사용후기가 없습니다.

등록된 상품문의

상품문의 쓰기새 창 더보기

상품문의가 없습니다.

배송정보

교환/반품 정보