Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.

LEADER 00000uam a2200481 a 4500 
003    CaSebORM 
005    20200110023147.4 
006    m     o  d         
007    cr cn          
008    260515s2015    xx      o           eng   
020    |z9781498760331 
020    |z9781498730907 
020    |z1482218941 
020    |z9781482218947 
020    |z9781498760331 
020    |z1498730906 
020    |z9781138463943 
020    |z1138463949 
024 8  KE34611 
024 8  9781482218947 
035    (CaSebORM)9781482218947 
041 0  eng 
100 1  Anderson, Mark,|eauthor. 
245 10 DOE Simplified, 3rd Edition|h[O'Reilly electronic 
       resource] /|cAnderson, Mark. 
250    3rd edition 
264  1 |bProductivity Press,|c2015. 
300    1 online resource (268 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
365    |b68.95 
520    Offering a planned approach for determining cause and 
       effect, DOE Simplified: Practical Tools for Effective 
       Experimentation, Third Edition  integrates the authors’ 
       decades of combined experience in providing training, 
       consulting, and computational tools to industrial 
       experimenters. Supplying readers with the statistical 
       means to analyze how numerous variables interact, it is 
       ideal for those seeking breakthroughs in product quality 
       and process efficiency via systematic experimentation. 
       Following in the footsteps of its bestselling predecessors,
       this edition incorporates a lively approach to learning 
       the fundamentals of the design of experiments (DOE). It 
       lightens up the inherently dry complexities with 
       interesting sidebars and amusing anecdotes. The book 
       explains simple methods for collecting and displaying data
       and presents comparative experiments for testing 
       hypotheses. Discussing how to block the sources of 
       variation from your analysis, it looks at two-level 
       factorial designs and covers analysis of variance. It also
       details a four-step planning process for designing and 
       executing experiments that takes statistical power into 
       consideration. This edition includes a major revision of 
       the software that accompanies the book (via download) and 
       sets the stage for introducing experiment designs where 
       the randomization of one or more hard-to-change factors 
       can be restricted. Along these lines, it includes a new 
       chapter on split plots and adds coverage of a number of 
       recent developments in the design and analysis of 
       experiments. Readers have access to case studies, problems,
       practice experiments, a glossary of terms, and a glossary 
       of statistical symbols, as well as a series of dynamic 
       online lectures that cover the first several chapters of 
       the book. 
533    Electronic reproduction.|bBoston, MA :|cSafari,|nAvailable
       via World Wide Web.|d2015. 
538    Mode of access: World Wide Web. 
542    |fCopyright © Productivity Press 2015|g2015 
550    Made available through: Safari, an O’Reilly Media Company.
588 00 Online resource; Title from title page (viewed December 1,
655  7 Electronic books.|2local 
700 1  Whitcomb, Patrick,|eauthor. 
710 2  Safari, an O’Reilly Media Company. 
856 40 |zConnect to this resource online|uhttps://