001481364 000__ 03401cam\\22005417i\4500
001481364 001__ 1481364
001481364 003__ OCoLC
001481364 005__ 20231031003334.0
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001481364 008__ 231009s2023\\\\sz\a\\\\ob\\\\000\0\eng\d
001481364 019__ $$a1401648248$$a1401906181$$a1402032916
001481364 020__ $$a9783031402999$$q(electronic bk.)
001481364 020__ $$a3031402995$$q(electronic bk.)
001481364 020__ $$z9783031402982
001481364 020__ $$z3031402987
001481364 0247_ $$a10.1007/978-3-031-40299-9$$2doi
001481364 035__ $$aSP(OCoLC)1402101994
001481364 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLKB
001481364 049__ $$aISEA
001481364 050_4 $$aQA276.45.M385
001481364 08204 $$a510.285/536$$223/eng/20231009
001481364 1001_ $$aShardt, Yuri A. W.,$$eauthor.$$1https://orcid.org/0000-0002-9311-7739
001481364 24510 $$aUsing MATLAB to solve statistical problems :$$ba practical guide to the book "Statistics for chemical and process engineers" /$$cYuri A.W. Shardt.
001481364 264_1 $$aCham :$$bSpringer,$$c2023.
001481364 300__ $$a1 online resource (xiv, 65 pages) :$$billustrations (some color).
001481364 336__ $$atext$$btxt$$2rdacontent
001481364 337__ $$acomputer$$bc$$2rdamedia
001481364 338__ $$aonline resource$$bcr$$2rdacarrier
001481364 4901_ $$aSpringer essentials,$$x2731-3115
001481364 504__ $$aIncludes bibliographical references.
001481364 5050_ $$aIntroduction to MATLAB® -- Data Visualisation -- Chapter 2 : Data Visualisation -- Theoretical Statistics, Distributions, Hypothesis Testing, and Confidence Intervals -- Regression Analysis and Design of Experiments.
001481364 506__ $$aAccess limited to authorized users.
001481364 520__ $$aThis companion book to the textbook Statistics for Chemical and Process Engineers -- A Modern Approach provides a complete overview of how to use Matlab to solve typical statistical problems in engineering. In addition to short sections on the required theory, the focus of the book is on detailed, line-by-line MATLAB code for solving the specific problems. Furthermore, solutions are provided for standard problems that can then be re-used and modified as necessary. End-of-chapter questions allow the reader to independently test the knowledge acquired. Content Detailed solutions for problems in Data visualisation Hypothesis testing Linear and nonlinear regression Design of experiments Time-series analysis System identification Target Groups Students and engineers that wish to solve statistical problems using Matlab Professors and instructors that wish to use Matlab in their courses The Author Prof. Dr. Yuri A.W. Shardt is currently the chair of the Department of Automation Engineering (de: Fachgebiet Automatisierungstechnik) at the Technical University of Ilmenau.
001481364 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 9, 2023).
001481364 63000 $$aMATLAB.
001481364 650_0 $$aMathematical statistics$$xData processing.
001481364 655_0 $$aElectronic books.
001481364 77608 $$iPrint version: $$z3031402987$$z9783031402982$$w(OCoLC)1390121803
001481364 830_0 $$aSpringer essentials,$$x2731-3115
001481364 852__ $$bebk
001481364 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40299-9$$zOnline Access$$91397441.1
001481364 909CO $$ooai:library.usi.edu:1481364$$pGLOBAL_SET
001481364 980__ $$aBIB
001481364 980__ $$aEBOOK
001481364 982__ $$aEbook
001481364 983__ $$aOnline
001481364 994__ $$a92$$bISE