Sequential Data in Biological Experiments | An introduction for research workers

Ellis A. Roberts

ISBN 10: 9401053812 / ISBN 13: 9789401053815

Published by Springer, 2013

About this Item

Sequential Data in Biological Experiments | An introduction for research workers | Ellis A. Roberts | Taschenbuch | xii | Englisch | 2013 | Springer | EAN 9789401053815 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105649437

Bibliographic Details

• Title: Sequential Data in Biological Experiments | An introduction for research workers
• Publisher: Springer
• Publication Date: 2013
• Language: English
• ISBN 10: 9401053812
• ISBN 13: 9789401053815
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 15D millimeters 235 millimeters width by 155 millimeters height by 15 millimeters depth
• Weight: 394 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

There are many excellent books on general statistical methods in agricul­ tural and biological research. These books cover a broad range of methods without going into detail on specialized topics. A number of topics including regression analysis, design of experiments, biological assay and categorical analysis have received in-depth treatment in specialized texts. Little appears in standard textbooks on experiments in which observations form sequences. The live weights of animals during a long-term experiment provide a familiar example of data forming a sequence, but many others occur: for example, moisture content of segments of soil cores, successive counts of insects in an orchard and hormone levels in blood over a period. Correla­ tions are likely to be found among the observations in all these examples. The book by Goldstein (1979) provided the first systematic coverage of the principles involved in longitudinal studies, but is mainly concerned with observational studies on humans. The main aims of this book are to provide research workers with methods of analysing data from comparative experiments with sequential obser­ vations and to demonstrate special features of the design of such experi­ ments. These aims are achieved by working through sets of data.