Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
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Librería: TextbookRush, Grandview Heights, OH, Estados Unidos de America
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Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
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Añadir al carritopaperback. Condición: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 57,61
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 59,92
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Añadir al carritoPaperback. Condición: new. Paperback. FeaturesWorked examples from psychologyClearly written, without mathematical formulaeWell-structured, for beginners and intermediate readersComprehensive chapter on categorical analysis- not just 'Chi squared'Effect sizes and confidence intervalsClear explanation of factor analysisCovers MANOVA, logistic regression and survival analysisIntroduces Bayesian statisticsReproduces a well-received short chapter on making presentationsData sets and case studies on the website Statistics for psychology students at university, at beginners and intermediate level, using open source statistical software. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Vor Press, United Kingdom, 2019
ISBN 10: 1916477925 ISBN 13: 9781916477926
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 64,73
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EUR 79,20
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 77,97
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 82,99
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 100,74
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 107,71
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Añadir al carritoHardcover. Condición: new. Hardcover. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 105,41
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Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 97,34
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Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 97,33
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Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 111,02
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Idioma: Inglés
Publicado por Business Science Reference 2020-02-28, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: Chiron Media, Wallingford, Reino Unido
EUR 97,46
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 110,98
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EUR 112,24
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 3 working days. 209.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 111,62
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Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 107,85
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Añadir al carritoPaperback. Condición: new. Paperback. FeaturesWorked examples from psychologyClearly written, without mathematical formulaeWell-structured, for beginners and intermediate readersComprehensive chapter on categorical analysis- not just 'Chi squared'Effect sizes and confidence intervalsClear explanation of factor analysisCovers MANOVA, logistic regression and survival analysisIntroduces Bayesian statisticsReproduces a well-received short chapter on making presentationsData sets and case studies on the website Statistics for psychology students at university, at beginners and intermediate level, using open source statistical software. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Original o primera edición
EUR 141,50
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Añadir al carritoHardback. Condición: New. 1st. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 135,81
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Añadir al carritoCondición: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 119,91
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Añadir al carritoHardcover. Condición: new. Hardcover. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: moluna, Greven, Alemania
EUR 105,45
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Añadir al carritoCondición: New. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, includin.
Librería: Buchpark, Trebbin, Alemania
EUR 49,63
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Librería: preigu, Osnabrück, Alemania
EUR 117,10
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Añadir al carritoBuch. Condición: Neu. Open Source Software for Statistical Analysis of Big Data | Emerging Research and Opportunities | Richard S. Segall (u. a.) | Buch | Gebunden | Englisch | 2020 | Engineering Science Reference | EAN 9781799827689 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827690 ISBN 13: 9781799827696
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 192,67
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Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827690 ISBN 13: 9781799827696
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 184,58
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Idioma: Inglés
Publicado por Engineering Science Reference, 2020
ISBN 10: 1799827690 ISBN 13: 9781799827696
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 184,56
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