Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
Filter
  • 2010-2014  (3)
  • Safari, an O'Reilly Media Company.  (3)
  • Ingénierie ; Informatique  (2)
  • BUSINESS & ECONOMICS ; Industrial Management  (1)
  • 1
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    ISBN: 9781315360492 , 1315360497
    Sprache: Englisch
    Seiten: 1 online resource (359 pages)
    Ausgabe: 1st edition
    Serie: Chapman & Hall/CRC the R series
    Schlagwort(e): Science Data processing ; Engineering Data processing ; Numerical analysis ; R (Computer program language) ; Electronic books ; local ; Sciences ; Informatique ; Ingénierie ; Informatique ; Analyse numérique ; R (Langage de programmation) ; Engineering ; Data processing ; Numerical analysis ; R (Computer program language) ; Science ; Data processing
    Kurzfassung: Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations. It not only shows how to use R's powerful graphic tools to construct the types of plots most useful in scientific and engineering work, but also: Explains how to statistically analyze and fit data to linear and nonlinear models Explores numerical differentiation, integration, and optimization Describes how to find eigenvalues and eigenfunctions Discusses interpolation and curve fitting Considers the analysis of time series Using R for Numerical Analysis in Science and Engineering provides a solid introduction to the most useful numerical methods for scientific and engineering data analysis using R.
    Anmerkung: Online resource; Title from title page (viewed April 24, 2014) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Productivity Press | Boston, MA : Safari
    ISBN: 9781466575035 , 1466575034 , 1466575026 , 9781466575028 , 9781466575028
    Sprache: Englisch
    Seiten: 1 online resource (490 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    Schlagwort(e): Just-in-time systems ; Quality control ; Management ; Quality Control ; Electronic books ; local ; Juste-à-temps (Système) ; Qualité ; Contrôle ; Gestion ; quality control ; management ; BUSINESS & ECONOMICS ; Industrial Management ; BUSINESS & ECONOMICS ; Management ; BUSINESS & ECONOMICS ; Management Science ; BUSINESS & ECONOMICS ; Organizational Behavior ; Just-in-time systems ; Management ; Quality control
    Kurzfassung: New JIT, New Management Technology Principle contains the previously published, updated, and new works of renowned scientist, scholar, and consultant Kakuro Amasaka. This book details the Just-in-Time (JIT) quality management strategy, exploring the cutting edge of a new management technology principle that surpasses what traditional JIT has accomplished. The new JIT principle contains hardware and software systems, and next-generation technical principles for transforming management technology into management strategy. This comprehensive work covers traditional JIT, innovation and evolution, the full new JIT and its applications, along with case studies. It is clearly impossible to lead the next generation by merely maintaining the two Toyota management technology principles, Toyota Production System and Total Quality Management. To overcome this issue, it is essential to renovate not only TPS, which is the core principle of the production process, but also establish core principles for marketing, design and development, production, and other departments. This book reassesses the way management technology was carried out in the manufacturing industry and establishes new JIT. This next-generation management technology model is the JIT system for not only manufacturing, but also for customer relations, sales and marketing, product planning, research and development (R&D), product design, production engineering, logistics, procurement, and administration and management for enhancing business process innovation and introduction of new concepts and procedures. The book focuses on the theory and application of strategic management technology through the application of new JIT, then demonstrates its effectiveness in a case study based on an advanced car manufacturer. Using this new model, you can realize manufacturing that places top priority on customers with a good Quality, Cost, and Delivery (QCD) in a rapidly changing technical environment, and allows you to create uniform quality for the global market.
    Anmerkung: Online resource; Title from title page (viewed December 3, 2014) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    ISBN: 9781466592216 , 1466592214 , 9781439885017
    Sprache: Englisch
    Seiten: 1 online resource (557 pages)
    Ausgabe: 1st edition
    Paralleltitel: Erscheint auch als
    Schlagwort(e): Geography Data processing ; Geography Statistical methods ; Environmental sciences Data processing ; Environmental sciences Statistical methods ; Engineering Data processing ; Engineering Statistical methods ; Electronic books ; local ; Géographie ; Informatique ; Géographie ; Méthodes statistiques ; Sciences de l'environnement ; Informatique ; Sciences de l'environnement ; Méthodes statistiques ; Ingénierie ; Informatique ; Ingénierie ; Méthodes statistiques ; MATHEMATICS ; Applied ; MATHEMATICS ; Probability & Statistics ; General ; Engineering ; Data processing ; Engineering ; Statistical methods ; Environmental sciences ; Data processing ; Environmental sciences ; Statistical methods ; Geography ; Data processing ; Geography ; Statistical methods
    Kurzfassung: Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author's many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods. Build from Fundamental Concepts to Effective Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seeg and RcmdrPlugin.seeg , open-source R packages developed by the author, which help students acquire the skills to implement and conduct analysis and to analyze the results. This self-contained book offers a unified presentation of data analysis methods for more effective problem solving. With clear, easy-to-follow explanations, the book helps students to develop a solid understanding of basic statistical analysis and prepares them for learning the more advanced and specialized methods they will need in their work.
    Anmerkung: Online resource; Title from title page (viewed December 7, 2012) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...