S. J. Welham, S. A. Gezan, S. J. Clark, A. Mead

Statistical Methods in Biology (eBook, PDF)

Design and Analysis of Experiments and Regression

• Format: PDF

Produktbeschreibung

Written in simple language with relevant examples, this illustrative introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 602
• Erscheinungstermin: 22. August 2014
• Englisch
• ISBN-13: 9781439898055
• Artikelnr.: 57081730

Autorenporträt

Suzanne Jane Welham obtained an MSc in statistical sciences from University College London in 1987 and worked as an applied statistician at Rothamsted Research from 1987 to 2000, collaborating with scientists and developing statistical software. She pursued a PhD from 2000 to 2003 at the London School of Hygiene and Tropical Medicine and then returned to Rothamsted, during which time she coauthored the in-house statistics courses that motivated the writing of this book. She is a coauthor of about 60 published papers and currently works for VSN International Ltd on the development of statistical software for analysis of linear mixed models and presents training courses on their use in R and GenStat.

Salvador Alejandro Gezan, PhD, is an assistant professor at the School of Forest Resources and Conservation at the University of Florida since 2011. Salvador obtained his bachelor's from the Universidad of Chile in forestry and his PhD from the University of Florida in statistics-genetics. He then worked as an applied statistician at Rothamsted Research, collaborating on the production and development of the in-house courses that formed the basis for this book. Currently, he teaches courses in linear and mixed model effects, quantitative genetics and forest mensuration. He carries out research and consulting in statistical application to biological sciences with emphasis on genetic improvement of plants and animals. Salvador is a long-time user of SAS, which he combines with GenStat, R and MATLAB as required.

Suzanne Jane Clark has worked at Rothamsted Research as an applied statistician since 1981. She primarily collaborates with ecologists and entomologists at Rothamsted, providing and implementing advice on statistical issues ranging from planning and design of experiments through to data analysis and presentation of results, and has coauthored over 130 scientific papers. Suzanne coauthored and presents several of the in-house st

Inhaltsangabe

Introduction. A Review of Basic Statistics. Principles for Designing
Experiments. Models for a Single Factor. Checking Model Assumptions.
Transformations of the Response. Models with Simple Blocking Structure.
Extracting Information about Treatments. Models with Complex Blocking
Structure. Replication and Power. Dealing with Non-Orthogonality. Models
for a Single Variate: Simple Linear Regression. Checking Model Fit. Models
for Several Variates: Multiple Linear Regression. Models for Variates and
Factors. Incorporating Structure: Mixed Models. Models for Curved
Relationships. Models for Non-Normal Responses: Generalized Linear Models.
Practical Design and Data Analysis for Real Studies. References.
Appendices.