03111nam a2200409 a 45000010005000000030009000050050017000140080041000310100017000720200035000890200032001240350022001560400028001780410008002060500021002140820024002351000022002592450127002812500012004082600049004203000035004694400047005045040053005515050737006045200721013415260007020626500031020696500032021006500035021327000030021677000035021978560083022328560106023158560091024218560137025128560052026497211BD-DhEWU20180104154353.0130928s2005 njua g b 001 0 eng d a 2004063780 a9780471718130 (acidfree paper) a0471718130 (acidfree paper) a(OCoLC) 57286064 aDLCcDLCdBD-DhEWUbeng aeng00aQA279b.B69 200504a519.5 STA222b20051 aBox, George E. P.10aStatistics for experimenters :bdesign, innovation, and discovery /cGeorge E.P. Box, J. Stuart Hunter, William G. Hunter. a2nd ed. aHoboken, N.J. :bWiley-Interscience,cc2005. axvii, 633 p. :bill. ;c25 cm. 0aWiley series in probability and statistics aIncludes bibliographical references and indexes. a Catalyzing the generation of knowledge --
Basics (probability, parameters and statistics) --
Comparing two entities : relevant reference distributions, tests, and confidence intervals --
Comparing a number of entities, randomized blocks and Latin squares --
Factorial designs at two levels --
Fraction factorial designs --
Additional fractionals and analysis --
Factorial designs and data transformation --
Multiple sources of variation --
Least squares and why we need designed experiments --
Modeling, geometry, and experimental design --
Some applications of response surface methods --
Designing robust products and processes --Process control, forecasting, and times series : an introduction --
Evolutionary process operation. aThe second edition of Statistics for Experimenters focuses on applications in the physical, engineering, biological, and social sciences. From the beginning, the book's source of ideas is the scientific method itself and the need of the investigator to make his or her research as effective as possible through proper choice and conduct of experiments and appropriate analysis of data. After a problem is stated, appropriate statistical methods of design and analysis are discussed. And frequently, examples are presented for which standard mathematical assumptions are wrong, thus forcing the reader's attention onto the essential precautions necessary in the conduct of the experiment to ensure valid conclusions. aAS 0aExperimental design.2SLSH 0aAnalysis of variance.2SLSH 0aMathematical statistics.2SLSH1 aHunter, J. Stuart,d1923-1 aHunter, William Gordon,d1937-413Table of contents onlyuhttp://www.loc.gov/catdir/toc/wiley051/2004063780.html423Contributor biographical informationuhttp://www.loc.gov/catdir/enhancements/fy0619/2004063780-b.html423Publisher descriptionuhttp://www.loc.gov/catdir/enhancements/fy0619/2004063780-d.html423OCLCuhttp://www.worldcat.org/title/statistics-for-experimenters-design-innovation-and-discovery/oclc/57286064&referer=brief_results403Ebook Fulltextuhttp://lib.ewubd.edu/ebook/7211