001443524 000__ 04116cam\a2200553Ii\4500 001443524 001__ 1443524 001443524 003__ OCoLC 001443524 005__ 20230310003549.0 001443524 006__ m\\\\\o\\d\\\\\\\\ 001443524 007__ cr\un\nnnunnun 001443524 008__ 220106s2022\\\\sz\a\\\\ob\\\\001\0\eng\d 001443524 019__ $$a1291268973$$a1291289633$$a1291311029$$a1291317713$$a1294363534$$a1339093666 001443524 020__ $$a9783030831905$$q(electronic bk.) 001443524 020__ $$a3030831906$$q(electronic bk.) 001443524 020__ $$z9783030831899 001443524 020__ $$z3030831892 001443524 0247_ $$a10.1007/978-3-030-83190-5$$2doi 001443524 035__ $$aSP(OCoLC)1291230038 001443524 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dDCT$$dOCLCF$$dN$T$$dUKAHL$$dOCLCQ 001443524 049__ $$aISEA 001443524 050_4 $$aTP165$$b.S53 2022 001443524 08204 $$a660.01/5195$$223 001443524 1001_ $$aShardt, Yuri A. W.,$$eauthor. 001443524 24510 $$aStatistics for chemical and process engineers :$$ba modern approach /$$cYuri A.W. Shardt. 001443524 250__ $$aSecond edition. 001443524 264_1 $$aCham :$$bSpringer,$$c[2022] 001443524 264_4 $$c©2022 001443524 300__ $$a1 online resource :$$billustrations (some color) 001443524 336__ $$atext$$btxt$$2rdacontent 001443524 337__ $$acomputer$$bc$$2rdamedia 001443524 338__ $$aonline resource$$bcr$$2rdacarrier 001443524 347__ $$atext file$$bPDF$$2rda 001443524 504__ $$aIncludes bibliographical references and index. 001443524 5050_ $$aIntroduction to Statistics and Data Visualisation -- Theoretical Foundation for Statistical Analysis -- Regression -- Design of Experiments -- Modelling Stochastic Processes with Time Series Analysis -- Modelling Dynamic Processes Using System Identification Methods -- Using MATLAB for Statistical Analysis -- Using Excel to do Statistical Analysis. 001443524 506__ $$aAccess limited to authorized users. 001443524 520__ $$aA coherent, concise, and comprehensive course in the statistics needed for a modern career in chemical engineering covers all of the concepts required for the American Fundamentals of Engineering Examination. Statistics for Chemical and Process Engineers (second edition) shows the reader how to develop and test models, design experiments and analyze data in ways easily applicable through readily available software tools like MS Excel and MATLAB and is updated for the most recent versions of both. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text, and it now contains an introduction to the use of state-space methods. The reader is given a detailed framework for statistical procedures covering: data visualization; probability; linear and nonlinear regression; experimental design (including factorial and fractional factorial designs); and dynamic process identification. Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques, and templates for use in MS Excel and MATLAB are also available for download. With its integrative approach to system identification, regression, and statistical theory, this book provides an excellent means of revision and self-study for chemical and process engineers working in experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive and similar industries, and invaluable instruction to advanced undergraduate and graduate students looking to begin a career in the process industries. 001443524 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 12, 2022). 001443524 650_0 $$aChemical engineering$$xStatistical methods$$vTextbooks. 001443524 650_0 $$aChemical processes$$xStatistical methods$$vTextbooks. 001443524 650_0 $$aStatistics$$vTextbooks. 001443524 655_7 $$aTextbooks.$$2fast$$0(OCoLC)fst01423863 001443524 655_0 $$aElectronic books. 001443524 77608 $$iPrint version: $$z3030831892$$z9783030831899$$w(OCoLC)1259046146 001443524 852__ $$bebk 001443524 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-83190-5$$zOnline Access$$91397441.1 001443524 909CO $$ooai:library.usi.edu:1443524$$pGLOBAL_SET 001443524 980__ $$aBIB 001443524 980__ $$aEBOOK 001443524 982__ $$aEbook 001443524 983__ $$aOnline 001443524 994__ $$a92$$bISE