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Statistical principles for the desig...

Gilmour, S. G.

Statistical principles for the design of experiments /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Statistical principles for the design of experiments /R. Mead, S.G. Gilmour, A. Mead.
其他題名:	Applications to real experiments
作者:	Mead, R.
其他作者:	Gilmour, S. G.
出版者:	Cambridge :Cambridge University Press,2012.
面頁冊數:	xiv, 572 p. :ill. ;27 cm.
附註:	Remainder of title information from cover.
標題:	Experimental design.
電子資源:	http://assets.cambridge.org/97805218/62141/cover/9780521862141.jpg
ISBN:	9780521862141 (hbk.) :

Statistical principles for the design of experiments /
Mead, R.

Statistical principles for the design of experiments / : Other title information from cover:Applications to real experimentsR. Mead, S.G. Gilmour, A. Mead. - Cambridge :Cambridge University Press,2012. - xiv, 572 p. :ill. ;27 cm. - Cambridge series in statistical and probabilistic mathematics ;[36].

Remainder of title information from cover.

Includes bibliographical references (p. 565-567) and index.

Machine generated contents note: 1. Introduction; 2. Elementary ideas of blocking: the randomised complete block design; 3. Elementary ideas of treatment structure; 4. General principles of linear models for the analysis of experimental data; 5. Experimental units; 6. Replication; 7. Blocking and control; 8. Multiple blocking systems and crossover designs; 9. Multiple levels of information; 10. Randomisation; 11. Restricted randomisation; 12. Experimental objectives, treatments and treatment structures; 13. Factorial structure and particular forms of effects; 14. Fractional replication; 15. Incomplete block size for factorial experiments; 16. Quantitative factors and response functions; 17. Multifactorial designs for quantitative factors; 18. Split unit designs; 19. Multiple experiments and new variation; 20. Sequential aspects of experiments and experimental programmes; 21. Designing useful experiments.

"This 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"--

ISBN: 9780521862141 (hbk.) :NT$2527

LCCN: 2012023181Subjects--Topical Terms:

181887
Experimental design.

LC Class. No.: QA279 / .M38825 2012

Dewey Class. No.: 001.4/34

Statistical principles for the design of experiments /
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020 $a 9780521862141 (hbk.) : $c NT$2527
020 $a 0521862140 (hbk.)
035 $a 2012023181
040 $a DLC $b eng $c DLC $d DLC
042 $a pcc
050 0 0 $a QA279 $b .M38825 2012
082 0 0 $a 001.4/34 $2 23
084 $a MAT029000 $2 bisacsh
100 1 $a Mead, R. $q (Roger) $3 671254
245 1 0 $a Statistical principles for the design of experiments / $c R. Mead, S.G. Gilmour, A. Mead.
246 0 $i Other title information from cover: $a Applications to real experiments
260 $a Cambridge : $b Cambridge University Press, $c 2012.
300 $a xiv, 572 p. : $b ill. ; $c 27 cm.
490 0 $a Cambridge series in statistical and probabilistic mathematics ; $v [36]
500 $a Remainder of title information from cover.
504 $a Includes bibliographical references (p. 565-567) and index.
505 8 $a Machine generated contents note: 1. Introduction; 2. Elementary ideas of blocking: the randomised complete block design; 3. Elementary ideas of treatment structure; 4. General principles of linear models for the analysis of experimental data; 5. Experimental units; 6. Replication; 7. Blocking and control; 8. Multiple blocking systems and crossover designs; 9. Multiple levels of information; 10. Randomisation; 11. Restricted randomisation; 12. Experimental objectives, treatments and treatment structures; 13. Factorial structure and particular forms of effects; 14. Fractional replication; 15. Incomplete block size for factorial experiments; 16. Quantitative factors and response functions; 17. Multifactorial designs for quantitative factors; 18. Split unit designs; 19. Multiple experiments and new variation; 20. Sequential aspects of experiments and experimental programmes; 21. Designing useful experiments.
520 $a "This 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"-- $c Provided by publisher.
650 0 $a Experimental design. $3 181887
650 7 $a MATHEMATICS / Probability & Statistics / General. $2 bisacsh $3 603543
700 1 $a Gilmour, S. G. $3 671255
700 1 $a Mead, A. $q (Andrew) $3 671256
856 4 2 $3 Cover image $u http://assets.cambridge.org/97805218/62141/cover/9780521862141.jpg