LEADER 02839nam 2200505 450 001 9910265147103321 005 20221012173533.0 010 $a953-51-3987-8 010 $a953-51-3878-2 035 $a(CKB)4100000002890960 035 $a(NjHacI)994100000002890960 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/59998 035 $a(MiAaPQ)EBC30390198 035 $a(Au-PeEL)EBL30390198 035 $a(EXLCZ)994100000002890960 100 $a20221012d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aStatistical approaches with emphasis on design of experiments applied to chemical processes /$fValter Silva, editor 205 $a1st ed. 210 $cIntechOpen$d2018 210 1$a[Place of publication not identified] :$cIntechOpen,$d[2018] 210 4$dİ2018 215 $a1 online resource (180 pages) 311 $a953-51-3877-4 330 $aOptimized operating conditions for complex systems can be attained by using advanced combinations of numerical and statistical methodologies. One of the most efficient and straightforward solutions relies on the application of statistical methods with an emphasis on the design of experiments (DoEs). Throughout the book, the design and analysis of experiments are conducted involving several approaches, namely, Taguchi, response surface methods, statistical correlations, or even fractional factorial and model-based evolutionary operation designs. This book not only presents a theoretical overview about the different approaches but also contains material that covers the use of the experimental analysis applied to several chemical processes. Some chapters highlight the use of software products to assist experimenters in both the design and analysis stages. It helps graduate students, teachers, researchers, and other professionals who are interested in chemical process optimization and also provides a good basis of theoretical knowledge and valuable insights into the technical details of these tools as well as explains common pitfalls to avoid. The world's leading pharmaceutical companies and local governments are trying to achieve their eradication. 606 $aChemical processes 610 $aPhysical Sciences 610 $aEngineering and Technology 610 $aMathematical Modeling 610 $aMathematics 610 $aStatistics 615 0$aChemical processes. 676 $a660.28 700 $aValter Silva$4auth$01363575 702 $aSilva$b Valter 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910265147103321 996 $aStatistical approaches with emphasis on design of experiments applied to chemical processes$93384328 997 $aUNINA