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Añadir al carritoTaschenbuch. Condición: Neu. Introductory Statistics and Random Phenomena | Uncertainty, Complexity and Chaotic Behavior in Engineering and Science | Manfred Denker (u. a.) | Taschenbuch | Modern Birkhäuser Classics | xxvi | Englisch | 2017 | Birkhäuser | EAN 9783319661513 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing, 2017
ISBN 10: 3319661515 ISBN 13: 9783319661513
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook integrates traditional statistical data analysis with new computational experimentation capabilities and concepts of algorithmic complexity and chaotic behavior in nonlinear dynamic systems. This was the first advanced text/reference to bring together such a comprehensive variety of tools for the study of random phenomena occurring in engineering and the natural, life, and social sciences.The crucial computer experiments are conducted using the readily available computer program Mathematica® Uncertain Virtual Worlds(TM) software packages which optimize and facilitate the simulation environment. Brief tutorials are included that explain how to use the Mathematica® programs for effective simulation and computer experiments. Large and original real-life data sets are introduced and analyzed as a model for independent study.This is an excellent classroom tool and self-study guide. The material is presented in a clear and accessible style providing numerous exercises and bibliographical notes suggesting further reading.Topics and FeaturesComprehensive and integrated treatment of uncertainty arising in engineering and scientific phenomena - algorithmic complexity, statistical independence, and nonlinear chaotic behaviorExtensive exercise sets, examples, and Mathematica® computer experiments that reinforce concepts and algorithmic methodsThorough presentation of methods of data compression and representationAlgorithmic approach to model selection and design of experimentsLarge data sets and 13 Mathematica®-based Uncertain Virtual Worlds(TM) programs and codeThis text is an excellent resource for all applied statisticians, engineers, and scientists who need to use modern statistical analysis methods to investigate and model their data. The present, softcover reprint is designed to make this classic textbook available to a wider audience.
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Idioma: Inglés
Publicado por Springer International Publishing Sep 2017, 2017
ISBN 10: 3319661515 ISBN 13: 9783319661513
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook integrates traditional statistical data analysis with new computational experimentation capabilities and concepts of algorithmic complexity and chaotic behavior in nonlinear dynamic systems. This was the first advanced text/reference to bring together such a comprehensive variety of tools for the study of random phenomena occurring in engineering and the natural, life, and social sciences.The crucial computer experiments are conducted using the readily available computer program Mathematica® Uncertain Virtual Worlds(TM) software packages which optimize and facilitate the simulation environment. Brief tutorials are included that explain how to use the Mathematica® programs for effective simulation and computer experiments. Large and original real-life data sets are introduced and analyzed as a model for independent study.This is an excellent classroom tool and self-study guide. The material is presented in a clear and accessible style providing numerous exercises and bibliographical notes suggesting further reading.Topics and FeaturesComprehensive and integrated treatment of uncertainty arising in engineering and scientific phenomena - algorithmic complexity, statistical independence, and nonlinear chaotic behaviorExtensive exercise sets, examples, and Mathematica® computer experiments that reinforce concepts and algorithmic methodsThorough presentation of methods of data compression and representationAlgorithmic approach to model selection and design of experimentsLarge data sets and 13 Mathematica®-based Uncertain Virtual Worlds(TM) programs and codeThis text is an excellent resource for all applied statisticians, engineers, and scientists who need to use modern statistical analysis methods to investigate and model their data. The present, softcover reprint is designed to make this classic textbook available to a wider audience. 536 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2017
ISBN 10: 3319661515 ISBN 13: 9783319661513
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Manfred Denker, Penn State University, USAWojbor Woyczynski, Case Western Reserve University, USA This textbook integrates traditional statistical data analysis with new computational experimentation capabilities and concepts .
Idioma: Inglés
Publicado por Birkhäuser, Palgrave Macmillan Sep 2017, 2017
ISBN 10: 3319661515 ISBN 13: 9783319661513
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Affordable, softcover reprint of a classic textbook¿Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 536 pp. Englisch.