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Condition: Gut. Zustand: Gut | Seiten: 1066 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Published by Elsevier Science Ltd 2014-12-01, 2014
ISBN 10: 0444634312 ISBN 13: 9780444634313
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ISBN 10: 1799877027 ISBN 13: 9781799877028
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Published by Engineering Science Reference, 2021
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Published by Elsevier Science Ltd, 2014
ISBN 10: 0444634312 ISBN 13: 9780444634313
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Published by Engineering Science Reference, 2021
ISBN 10: 1799877027 ISBN 13: 9781799877028
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Published by Engineering Science Reference, 2021
ISBN 10: 1799877019 ISBN 13: 9781799877011
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Published by Engineering Science Reference, 2021
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Published by North Holland 2018-08-29, 2018
ISBN 10: 0444640428 ISBN 13: 9780444640420
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Published by Engineering Science Reference, 2021
ISBN 10: 1799877019 ISBN 13: 9781799877011
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Published by Engineering Science Reference, 2021
ISBN 10: 1799877019 ISBN 13: 9781799877011
Seller: Buchpark, Trebbin, Germany
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | With the field of computational statistics growing rapidly, there is a need for capturing the advances and assessing their impact. Advances in simulation and graphical analysis also add to the pace of the statistical analytics field. Computational statistics play a key role in financial applications, particularly risk management and derivative pricing, biological applications including bioinformatics and computational biology, and computer network security applications that touch the lives of people. With high impacting areas such as these, it becomes important to dig deeper into the subject and explore the key areas and their progress in the recent past. Methodologies and Applications of Computational Statistics for Machine Intelligence serves as a guide to the applications of new advances in computational statistics. This text holds an accumulation of the thoughts of multiple experts together, keeping the focus on core computational statistics that apply to all domains. Covering topics including artificial intelligence, deep learning, and trend analysis, this book is an ideal resource for statisticians, computer scientists, mathematicians, lecturers, tutors, researchers, academic and corporate libraries, practitioners, professionals, students, and academicians.
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Published by Elsevier Science Ltd, 2014
ISBN 10: 0444634312 ISBN 13: 9780444634313
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Language: English
Published by Elsevier Science Nov 2014, 2014
ISBN 10: 0444634312 ISBN 13: 9780444634313
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered. 412 pp. Englisch.
Language: English
Published by Engineering Science Reference, 2021
ISBN 10: 1799877027 ISBN 13: 9781799877028
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a guide to the applications of new advances in computational statistics. The book focuses on core computational statistics that apply to all domains, and cover topics including artificial intelligence, deep learning, and trend analysis.Klap.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily high quality. R was recently ranked in 14th place by the Transparent Language Popularity Index and 6th as a scripting language, after PHP, Python, and Perl. The book is designed so that it can be used right away by novices while appealing to experienced users as well. Each article begins with a data example that can be downloaded directly from the R website. Data analysis questions are articulated following the presentation of the data. The necessary R commands are spelled out and executed and the output is presented and discussed. Other examples of data sets with a different flavor and different set of commands but following the theme of the article are presented as well. Each chapter predents a hands-on-experience. R has superb graphical outlays and the book brings out the essentials in this arena. The end user can benefit immensely by applying the graphics to enhance research findings. The core statistical methodologies such as regression, survival analysis, and discrete data are all covered.