000 02433nam a22003497a 4500
001 sulb-eb0016612
003 BD-SySUS
005 20160405140616.0
008 110217s2012||||enk o ||1 0|eng|d
020 _a9781139020879 (ebook)
020 _z9780521862141 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
_dBD-SySUS.
050 0 0 _aQA279
_b.M38825 2012
082 0 0 _a001.4/34
_223
100 1 _aMead, R.,
_eauthor.
245 1 0 _aStatistical Principles for the Design of Experiments :
_bApplications to Real Experiments /
_cR. Mead, S. G. Gilmour, A. Mead.
264 1 _aCambridge :
_bCambridge University Press,
_c2012.
300 _a1 online resource (586 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aCambridge Series in Statistical and Probabilistic Mathematics ;
_v36
500 _aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520 _aThis book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.
650 0 _aExperimental design
700 1 _aGilmour, S. G.,
_eauthor.
700 1 _aMead, A.,
_eauthor.
776 0 8 _iPrint version:
_z9780521862141
830 0 _aCambridge Series in Statistical and Probabilistic Mathematics ;
_v36.
856 4 0 _uhttp://dx.doi.org/10.1017/CBO9781139020879
942 _2Dewey Decimal Classification
_ceBooks
999 _c38050
_d38050