Download Introduction to the Design and Analysis of Experiments (Hodder Arnold Publication)By Geoffrey M. Clarke, Robert E. Kempson
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Introduction to the Design and Analysis of Experiments (Hodder Arnold Publication)By Geoffrey M. Clarke, Robert E. Kempson
Download Introduction to the Design and Analysis of Experiments (Hodder Arnold Publication)By Geoffrey M. Clarke, Robert E. Kempson
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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.
- Amazon Sales Rank: #7459564 in Books
- Published on: 1997-01-30
- Original language: English
- Number of items: 1
- Dimensions: .63" h x 9.65" w x 6.77" l,
- Binding: Paperback
- 352 pages
Review A valuable addition to the literature on this important subject. -- Royal Statistical Society It is a valuable addition to the literature on this important subject. -- Statistics in Society Refreshing presentation of concepts. -- The Statistician
From the Publisher Contains a detailed explanation of how to undertake and interpret computer analysis using the SAS package. This book includes worked examples as well as exercises at the end of each chapter. The authors provide full coverage of the basic principles behind the planning and analysis of experiments, without being too theoretical and using a practical approach.
From the Back Cover Contains a detailed explanation of how to undertake and interpret computer analysis using the SAS package. This book includes worked examples as well as exercises at the end of each chapter. The authors provide full coverage of the basic principles behind the planning and analysis of experiments, without being too theoretical and using a practical approach.
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