000			04039cam a2200397 i 4500
001			18149547
008			140513t20152015flua b 001 0 eng
010			_a2014016839
020			_a9781439808788 _q(hardback : acid-free paper) _cGBP59.99
020			_a1439808783 _q(hardback : acid-free paper)
040			_aDLC _beng _cDLC _erda _dDLC _dSFPAGOH
050	0	0	_aQH323.5 _b.W446 2015
100	1		_aWelham, S. J. _q(Suzanne Jane), _eauthor.
245	1	0	_aStatistical methods in biology : _bdesign and analysis of experiments and regression / _cS. J. Welham, Rothamsted Research, Harpenden, UK, S. A. Gezan, University of Florida, USA (formerly Rothamsted Research, Harpenden, UK), S. J. Clark, Rothamsted Research, Harpenden, UK, A. Mead, Rothamsted Research, Harpenden, UK (formerly Horticulture Research International, Wellesbourne, UK & University of Warwick, UK).
264		1	_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2015
264		4	_c©2015
300			_axx, 582 pages : _billustrations ; _c27 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
500			_a"A Chapman & Hall book."
520			_a"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"-- _cProvided by publisher.
520			_a"This book provides an introductory, practical and illustrative guide to design of experiments and data analysis in the biological and agricultural plant sciences. It is aimed both at research scientists and at students (from final year undergraduate level through taught masters to PhD students) who either need to design their own experiments and perform their own analyses or can consult with a professional applied statistician, and want to have a clear understanding of the methods that they are using. The material is based on courses developed at two British research institutes (Rothamsted Research and Horticulture Research International (HRI)--then Warwick HRI, and now the School of Life Science, University of Warwick) to train research scientists and post-graduate students in these key areas of statistics. Our overall approach is intended to be practical and intuitive rather than overly theoretical, with mathematical formulae presented only to formalise the methods where appropriate and necessary. Our intention is to present statistical ideas in the context of the biological and agricultural sciences to which they are being applied, drawing on relevant examples from our own experiences as consultant applied statisticians at research institutes, to encourage best practice in design and data analysis. The first two chapters of this book provide introductory, review and background material. In Chapter 1, we introduce types of data and statistical models, together with an overview of the basic statistical concepts and terminology used throughout"-- _cProvided by publisher.
504			_aIncludes bibliographical references (pages 545-549) and index.
650		0	_aBiometry.
650		0	_aRegression analysis.
650		0	_aExperimental design.
650		7	_aMATHEMATICS / Probability & Statistics / General.
650		7	_aTECHNOLOGY & ENGINEERING / Agriculture / General.
907			_a.b10063080 _b19-08-19 _c06-02-18
998			_am _b06-02-18 _cm _da _e- _feng _gflu _h0
999			_c3899 _d3899