Kooperativer Bibliotheksverbund

UID:

Format: XX, 391 Seiten : , Illustrationen, Diagramme (teilweise farbig).

ISBN: 978-3-11-042521-5 , 3-11-042521-1

Series Statement: De Gruyter Studium

Additional Edition: Erscheint auch als Online-Ausgabe, e-PDF ISBN 978-3-11-042522-2

Additional Edition: Erscheint auch als Online-Ausgabe, e-PUB ISBN 978-3-11-042399-0

Language: German

Subjects: Computer Science

Keywords: Mathematica ; Wolfram

URL: http://www.degruyter.com/search?f_0=isbnissn&q_0=9783110425215&searchTitles=true

Author information: Weiß, Christian H., 1977-,

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Format: XVIII, 326 S. , Ill., graph. Darst.

ISBN: 9783486586671 , 348658667X

Language: German

Subjects: Computer Science

Keywords: Mathematica

URL: Inhaltstext

URL: Inhaltsverzeichnis

Author information: Weiß, Christian H. 1977-

UID:

Format: xv, 284 Seiten , Diagramme

ISBN: 9781119096962

Note: Includes bibliographical references and index

Additional Edition: Erscheint auch als Online-Ausgabe, pdf ISBN 978-1-119-09698-6

Additional Edition: Erscheint auch als Online-Ausgabe, epub ISBN 978-1-119-09699-3

Language: English

Subjects: Economics , Mathematics

Keywords: Zeitreihenanalyse

URL: Inhaltsverzeichnis

URL: Inhaltsverzeichnis

URL: Klappentext

Author information: Weiß, Christian H. 1977-

UID:

Format: XVIII, 326 S. : , Ill., graph. Darst.

ISBN: 978-3-486-58667-1 , 3-486-58667-X

Language: German

Subjects: Computer Science

Keywords: Mathematica ; Lehrbuch

URL: Inhaltstext

URL: Inhaltsverzeichnis

URL: Inhaltsverzeichnis

URL: Inhaltstext

Author information: Weiß, Christian H. 1977-

UID:

Format: 1 Online-Ressource (372 p.)

ISBN: 9783036521213 , 9783036521220

Content: The analysis and modeling of time series is of the utmost importance in various fields of application. This Special Issue is a collection of articles on a wide range of topics, covering stochastic models for time series as well as methods for their analysis, univariate and multivariate time series, real-valued and discrete-valued time series, applications of time series methods to forecasting and statistical process control, and software implementations of methods and models for time series. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples

Note: English

Language: English

URL: kostenfrei

UID:

Format: 1 online resource (392 pages) : , illustrations, tables.

Edition: 1st ed.

ISBN: 3-11-042399-5 , 3-11-042522-X

Series Statement: De Gruyter Studium

Content: Dieses Werk stellt eine kompakte und zugleich umfassende Einführung zu Mathematica dar, einem sehr populären und äußerst vielseitigen Computeralgebrasystem, welches auf der Programmiersprache Wolfram Language beruht. Mathematica bietet ein breites Repertoire mathematischer Funktionen aus diversen Teilgebieten der Mathematik an, von denen zahlreiche im Buch vorgestellt werden. Darüberhinaus bietet die Software aber auch zu einer Vielzahl weiterer Themengebiete Funktionalitäten an, etwa zur Bild- und Audiobearbeitung zur Datenanalyse und zur Textbearbeitung. Sie verfügt über umfassende grafische Fähigkeiten, eignet sich dank diverser Animations- und Präsentationsmöglichkeiten zum Einsatz in der Lehre, und bietet eine extrem umfangreiche und tagesaktuelle Wissensdatenbank. Dieser vielfältigen Anwendbarkeit trägt das Buch Rechnung und führt breitgefächert in zentrale Funktionalitäten ein, stets ausführlich erläutert anhand von Beispielen. Dabei geht es von der Mathematica-Version 11 aus, ist aber auch für Nutzer anderer Versionen nahezu uneingeschränkt geeignet. Christian H. Weiß studierte Mathematik und Physik an den Universitäten Würzburg und Helsinki. 2009 schloss er seine Promotion in Mathematik an der Universität Würzburg ab. Seit 2013 ist er Professor in der Fächergruppe Mathematik & Statistik der Helmut-Schmidt-Universität in Hamburg.

Note: Frontmatter -- , Vorwort -- , Inhalt -- , Tabellenverzeichnis -- , 1. Einleitung -- , Teil I: Grundlagen der Arbeit mit Mathematica -- , 2. Erste Schritte in Mathematica -- , 3. Das Programm Mathematica -- , 4. Datenverwaltung bei Mathematica -- , 5. Mathematica als Rechenwerkzeug -- , 6. Grafiken erstellen mit Mathematica -- , Teil II: Mathematik mit Mathematica -- , 7. Funktionen in Mathematica -- , 8. Analysis -- , 9. Lineare Algebra -- , 10. Algebra und Zahlentheorie -- , 11. Geometrie -- , 12. Graphentheorie -- , 13. Wahrscheinlichkeitstheorie -- , Teil III: Mathematica in der Praxis -- , 14. Mathematica als Nachschlagewerk -- , 15. Texte schreiben mit Mathematica -- , 16. Präsentation, Interaktion und Animation -- , 17. Bildbearbeitung mit Mathematica -- , 18. Musikstücke erzeugen und bearbeiten -- , 19. Statistische Datenanalyse und -modellierung -- , 20. Simulation und Zufall mit Mathematica -- , 21. Sequenzen und Zeichenketten -- , Teil IV: Anhänge -- , A. Ein Blick hinter die Kulissen . . . -- , B. Anbindung an SQL-Datenbanken -- , C. Kleines MySQL-ABC -- , Literatur -- , Stichwortverzeichnis -- , Wolfram Language Index , In German.

Additional Edition: ISBN 3-11-042521-1

Language: German

Subjects: Computer Science

Keywords: Electronic books.

DOI: 10.1515/9783110425222

URL: Click to View

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Format: 1 online resource (xv, 284 pages)

ISBN: 9781119096986 , 1119096987 , 9781119097013 , 1119097010

Content: A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a few. Despite growing interest in discrete-valued time series--especially those arising from counting specific objects or events at specified times--most books on time series give short shrift to that increasingly important subject area. This book seeks to rectify that state of affairs by providing a much needed introduction to discrete-valued time series, with particular focus on count-data time series. The main focus of this book is on modeling. Throughout numerous examples are provided illustrating models currently used in discrete-valued time series applications. Statistical process control, including various control charts (such as cumulative sum control charts), and performance evaluation are treated at length. Classic approaches like ARMA models and the Box-Jenkins program are also featured with the basics of these approaches summarized in an Appendix. In addition, data examples, with all relevant R code, are available on a companion website. Provides a balanced presentation of theory and practice, exploring both categorical and integer-valued series Covers common models for time series of counts as well as for categorical time series, and works out their most important stochastic properties Addresses statistical approaches for analyzing discrete-valued time series and illustrates their implementation with numerous data examples Covers classical approaches such as ARMA models, Box-Jenkins program and how to generate functions Includes dataset examples with all necessary R code provided on a companion website An Introduction to Discrete-Valued Time Series is a valuable working resource for researchers and practitioners in a broad range of fields, including statistics, data science, machine learning, and engineering. It will also be of interest to postgraduate students in statistics, mathematics and economics.

Note: A first approach for modeling time series of counts : the thinning-based INAR (1) model -- Further thinning-based models for count time series -- INGARCH models for count time series -- Further models for count time series -- Analyzing categorical time series -- Models for categorical time series -- Control charts for count processes -- Control charts for categorical processes.

Additional Edition: Print version: Weiss, Christian H., 1977- Introduction to discrete-valued time series. Hoboken, NJ : John Wiley & Sons Ltd, 2018 ISBN 9781119096962

Language: English

Keywords: Electronic books. ; Electronic books. ; Electronic books. ; Electronic books.

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119097013

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119097013

URL: Click to View

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119097013

UID:

Format: X, 537 Seiten , graph. Darst. , 21 cm, 720 gr.

Edition: Als Ms. gedr.

ISBN: 9783866244429

Series Statement: Dissertation.de 1542

Note: Text engl.

Language: English

Keywords: Zeitreihenanalyse ; Kategoriale Daten ; Zeitreihenanalyse ; Statistische Qualitätskontrolle ; Hochschulschrift

URL: http://d-nb.info/995083134/04

URL: http://www.dissertation.de/buch.php3?buch=5926

URL: http://deposit.d-nb.de/cgi-bin/dokserv?id=3327158&prov=M&dok_var=1&dok_ext=htm

Author information: Weiß, Christian H.

UID:

Format: 1 electronic resource (372 p.)

Content: The analysis and modeling of time series is of the utmost importance in various fields of application. This Special Issue is a collection of articles on a wide range of topics, covering stochastic models for time series as well as methods for their analysis, univariate and multivariate time series, real-valued and discrete-valued time series, applications of time series methods to forecasting and statistical process control, and software implementations of methods and models for time series. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples.

Note: English

Additional Edition: ISBN 3-0365-2121-6

Additional Edition: ISBN 3-0365-2122-4

Language: English

UID:

Format: 1 electronic resource (372 p.)

Content: The analysis and modeling of time series is of the utmost importance in various fields of application. This Special Issue is a collection of articles on a wide range of topics, covering stochastic models for time series as well as methods for their analysis, univariate and multivariate time series, real-valued and discrete-valued time series, applications of time series methods to forecasting and statistical process control, and software implementations of methods and models for time series. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples.

Note: English

Additional Edition: ISBN 3-0365-2121-6

Additional Edition: ISBN 3-0365-2122-4

Language: English