01330nam 2200397 n 450 99639251800331620221108085617.0(CKB)1000000000681250(EEBO)2240887918(UnM)99860527(EXLCZ)99100000000068125019860123d1643 uy |engurbn||||a|bb|Observations vpon Prince Rupert's vvhite dog, called Boy[electronic resource] /carefully taken by T.B. for that purpose imployed by some of quality in the city of London[London s.n.]Printed in the yeere, M DC XLIII. [1643][8] pPlace of publication from Wing.Signed at end: T.P.A satire upon Puritans.Signatures: A⁴.Annotation on Thomason copy: "ffeb: 2d 1642".Reproduction of the original in the British Library.eebo-0018PuritansHumorEarly works to 1800PuritansHumorT. B1004222T. P1004662Cu-RivESCu-RivESCStRLINWaOLNBOOK996392518003316Observations vpon Prince Rupert's vvhite dog, called Boy2358757UNISA04010nam 22006015 450 991052291440332120250512101730.03-030-83190-610.1007/978-3-030-83190-5(MiAaPQ)EBC6841085(Au-PeEL)EBL6841085(CKB)20462368600041(OCoLC)1291317713(DE-He213)978-3-030-83190-5(PPN)272742023(EXLCZ)992046236860004120220104d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierStatistics for Chemical and Process Engineers A Modern Approach /by Yuri A.W. Shardt2nd ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (453 pages)3-030-83189-2 Introduction 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.A 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.Chemical engineeringStatisticsIndustrial engineeringProduction engineeringChemical EngineeringStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesIndustrial and Production EngineeringChemical engineering.Statistics.Industrial engineering.Production engineering.Chemical Engineering.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Industrial and Production Engineering.660660.015195Shardt Yuri A. W.1077122MiAaPQMiAaPQMiAaPQBOOK9910522914403321Statistics for Chemical and Process Engineers2588507UNINA